---
_id: '13271'
abstract:
- lang: eng
  text: Pasteurization is the prevalent method for stabilizing cloudy apple juice
    and prolonging its shelf life, but can also impair quality. Therefore, it is necessary
    to investigate and quantify the chemical, physical and sensory effects of this
    treatment. In this study, cloudy apple juice was treated at different time-temperature
    combinations with equivalent microbial lethality with 161.6 PU. These can be categorized
    as low temperature/long time (LTLT with 70°C and 80°C) or high temperature/short
    time (HTST with 90°C, 100°C and 105°C) treatments. The results were compared to
    those of untreated juice. HTST treatment had significantly less impact on the
    juice compared to LTLT treatment. LTLT-treated juices were characterized by different
    sensory attributes, such as raisin and caramel odor and bitter taste. In contrast,
    the untreated and HTST-treated juices exhibited odors like pear and lemon. There
    were also significant differences in turbidity, sugar composition, viscosity and
    a heightened 5-(hydroxymethyl)furfural (HMF) content with LTLT treatment. In summary,
    HTST-treated juices are more similar to the untreated juices and are rated higher
    in terms of quality characteristics. The lowest pasteurization temperature of
    70°C results in the greatest deterioration of juice quality. It can be concluded
    that different pasteurization conditions showed different effects on juice quality,
    despite having the same microbiological lethality of 161.6 PU. Results can be
    considered when designing pasteurization processes.
article_number: '101471'
author:
- first_name: Linda
  full_name: Katsch, Linda
  id: '71614'
  last_name: Katsch
  orcid: '0000-0001-6628-3929 '
- first_name: Martina
  full_name: Sokolowsky, Martina
  id: '76708'
  last_name: Sokolowsky
- first_name: Brian
  full_name: Gibson, Brian
  last_name: Gibson
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
citation:
  ama: Katsch L, Sokolowsky M, Gibson B, Schneider J. Influence of different pasteurization
    conditions with equivalent pasteurization units on chemical, physical, and sensory
    properties of cloudy apple juice. <i>Applied Food Research</i>. 2025;5(2). doi:<a
    href="https://doi.org/10.1016/j.afres.2025.101471">10.1016/j.afres.2025.101471</a>
  apa: Katsch, L., Sokolowsky, M., Gibson, B., &#38; Schneider, J. (2025). Influence
    of different pasteurization conditions with equivalent pasteurization units on
    chemical, physical, and sensory properties of cloudy apple juice. <i>Applied Food
    Research</i>, <i>5</i>(2), Article 101471. <a href="https://doi.org/10.1016/j.afres.2025.101471">https://doi.org/10.1016/j.afres.2025.101471</a>
  bjps: <b>Katsch L <i>et al.</i></b> (2025) Influence of Different Pasteurization
    Conditions with Equivalent Pasteurization Units on Chemical, Physical, and Sensory
    Properties of Cloudy Apple Juice. <i>Applied Food Research</i> <b>5</b>.
  chicago: Katsch, Linda, Martina Sokolowsky, Brian Gibson, and Jan Schneider. “Influence
    of Different Pasteurization Conditions with Equivalent Pasteurization Units on
    Chemical, Physical, and Sensory Properties of Cloudy Apple Juice.” <i>Applied
    Food Research</i> 5, no. 2 (2025). <a href="https://doi.org/10.1016/j.afres.2025.101471">https://doi.org/10.1016/j.afres.2025.101471</a>.
  chicago-de: Katsch, Linda, Martina Sokolowsky, Brian Gibson und Jan Schneider. 2025.
    Influence of different pasteurization conditions with equivalent pasteurization
    units on chemical, physical, and sensory properties of cloudy apple juice. <i>Applied
    Food Research</i> 5, Nr. 2. doi:<a href="https://doi.org/10.1016/j.afres.2025.101471">10.1016/j.afres.2025.101471</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Katsch, Linda</span> ; <span
    style="font-variant:small-caps;">Sokolowsky, Martina</span> ; <span style="font-variant:small-caps;">Gibson,
    Brian</span> ; <span style="font-variant:small-caps;">Schneider, Jan</span>: Influence
    of different pasteurization conditions with equivalent pasteurization units on
    chemical, physical, and sensory properties of cloudy apple juice. In: <i>Applied
    Food Research</i> Bd. 5. Amsterdam, Elsevier (2025), Nr. 2'
  havard: L. Katsch, M. Sokolowsky, B. Gibson, J. Schneider, Influence of different
    pasteurization conditions with equivalent pasteurization units on chemical, physical,
    and sensory properties of cloudy apple juice, Applied Food Research. 5 (2025).
  ieee: 'L. Katsch, M. Sokolowsky, B. Gibson, and J. Schneider, “Influence of different
    pasteurization conditions with equivalent pasteurization units on chemical, physical,
    and sensory properties of cloudy apple juice,” <i>Applied Food Research</i>, vol.
    5, no. 2, Art. no. 101471, 2025, doi: <a href="https://doi.org/10.1016/j.afres.2025.101471">10.1016/j.afres.2025.101471</a>.'
  mla: Katsch, Linda, et al. “Influence of Different Pasteurization Conditions with
    Equivalent Pasteurization Units on Chemical, Physical, and Sensory Properties
    of Cloudy Apple Juice.” <i>Applied Food Research</i>, vol. 5, no. 2, 101471, 2025,
    <a href="https://doi.org/10.1016/j.afres.2025.101471">https://doi.org/10.1016/j.afres.2025.101471</a>.
  short: L. Katsch, M. Sokolowsky, B. Gibson, J. Schneider, Applied Food Research
    5 (2025).
  ufg: '<b>Katsch, Linda u. a.</b>: Influence of different pasteurization conditions
    with equivalent pasteurization units on chemical, physical, and sensory properties
    of cloudy apple juice, in: <i>Applied Food Research</i> 5 (2025), H. 2.'
  van: Katsch L, Sokolowsky M, Gibson B, Schneider J. Influence of different pasteurization
    conditions with equivalent pasteurization units on chemical, physical, and sensory
    properties of cloudy apple juice. Applied Food Research. 2025;5(2).
date_created: 2025-10-27T16:10:29Z
date_updated: 2025-11-05T08:17:40Z
department:
- _id: DEP4023
- _id: DEP4018
doi: 10.1016/j.afres.2025.101471
intvolume: '         5'
issue: '2'
keyword:
- Cloudy apple juice
- HTST
- juice pasteurization
- sensory analysis
- process optimization
- equivalent microbial lethality
language:
- iso: eng
place: Amsterdam
publication: Applied Food Research
publication_identifier:
  eissn:
  - 2772-5022
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: Influence of different pasteurization conditions with equivalent pasteurization
  units on chemical, physical, and sensory properties of cloudy apple juice
type: scientific_journal_article
user_id: '83781'
volume: 5
year: '2025'
...
---
_id: '13433'
abstract:
- lang: eng
  text: The use of lubricants on electrical connector contacts is essential for certain
    applications in order to reduce mating forces, minimize wear, and mitigate fretting
    corrosion. However, increasing performance requirements (e.g., operation at elevated
    temperatures) and regulatory restrictions are prompting a reassessment of lubricant
    selection. In this study, the influence of three lubricants (one oil and two greases),
    operating temperature (room temperature and 130°C), and applied volume (low, medium
    and high volume) on electrical contact resistance (ECR) and coefficient of friction
    (CoF) is investigated by means of fretting wear tests on silver-plated contacts.
    The results show that unlubricated silver contacts exhibit a longer stable phase
    at 130 °C than at room temperature. For lubricated contacts, service life is influenced
    by both temperature and lubricant volume. Certain lubricants demonstrate earlier
    fail at room temperature than at elevated temperatures. The findings highlight
    the importance of careful selection and optimization of lubricants for electrical
    connectors under varying environmental conditions.
author:
- first_name: Michael
  full_name: Blauth, Michael
  id: '49095'
  last_name: Blauth
- first_name: Sören
  full_name: Tülling, Sören
  id: '71422'
  last_name: Tülling
- first_name: Jian
  full_name: Song, Jian
  id: '5297'
  last_name: Song
citation:
  ama: Blauth M, Tülling S, Song J. <i>Effect of Operating Temperature and Application
    Quantity of Lubricants on the Fretting Behavior of Silver Plated Electrical Contacts</i>.
    (ieee-holm, ed.). IEEE; 2025. doi:<a href="https://doi.org/10.1109/hlm51652.2025.11278329">10.1109/hlm51652.2025.11278329</a>
  apa: Blauth, M., Tülling, S., &#38; Song, J. (2025). Effect of Operating Temperature
    and Application Quantity of Lubricants on the Fretting Behavior of Silver Plated
    Electrical Contacts. In ieee-holm (Ed.), <i>Proceedings of the 70th IEEE Holm
    Conference on Electrical Contacts (HLM)</i>. IEEE. <a href="https://doi.org/10.1109/hlm51652.2025.11278329">https://doi.org/10.1109/hlm51652.2025.11278329</a>
  bjps: '<b>Blauth M, Tülling S and Song J</b> (2025) <i>Effect of Operating Temperature
    and Application Quantity of Lubricants on the Fretting Behavior of Silver Plated
    Electrical Contacts</i>, ieee-holm (ed.). Piscataway, NJ: IEEE.'
  chicago: 'Blauth, Michael, Sören Tülling, and Jian Song. <i>Effect of Operating
    Temperature and Application Quantity of Lubricants on the Fretting Behavior of
    Silver Plated Electrical Contacts</i>. Edited by ieee-holm. <i>Proceedings of
    the 70th IEEE Holm Conference on Electrical Contacts (HLM)</i>. Electrical Contacts.
    Piscataway, NJ: IEEE, 2025. <a href="https://doi.org/10.1109/hlm51652.2025.11278329">https://doi.org/10.1109/hlm51652.2025.11278329</a>.'
  chicago-de: 'Blauth, Michael, Sören Tülling und Jian Song. 2025. <i>Effect of Operating
    Temperature and Application Quantity of Lubricants on the Fretting Behavior of
    Silver Plated Electrical Contacts</i>. Hg. von ieee-holm. <i>Proceedings of the
    70th IEEE Holm Conference on Electrical Contacts (HLM)</i>. Electrical contacts.
    Piscataway, NJ: IEEE. doi:<a href="https://doi.org/10.1109/hlm51652.2025.11278329">10.1109/hlm51652.2025.11278329</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Blauth, Michael</span> ; <span
    style="font-variant:small-caps;">Tülling, Sören</span> ; <span style="font-variant:small-caps;">Song,
    Jian</span> ; <span style="font-variant:small-caps;">ieee-holm</span> (Hrsg.):
    <i>Effect of Operating Temperature and Application Quantity of Lubricants on the
    Fretting Behavior of Silver Plated Electrical Contacts</i>, <i>Electrical contacts</i>.
    Piscataway, NJ : IEEE, 2025'
  havard: M. Blauth, S. Tülling, J. Song, Effect of Operating Temperature and Application
    Quantity of Lubricants on the Fretting Behavior of Silver Plated Electrical Contacts,
    IEEE, Piscataway, NJ, 2025.
  ieee: 'M. Blauth, S. Tülling, and J. Song, <i>Effect of Operating Temperature and
    Application Quantity of Lubricants on the Fretting Behavior of Silver Plated Electrical
    Contacts</i>. Piscataway, NJ: IEEE, 2025. doi: <a href="https://doi.org/10.1109/hlm51652.2025.11278329">10.1109/hlm51652.2025.11278329</a>.'
  mla: Blauth, Michael, et al. “Effect of Operating Temperature and Application Quantity
    of Lubricants on the Fretting Behavior of Silver Plated Electrical Contacts.”
    <i>Proceedings of the 70th IEEE Holm Conference on Electrical Contacts (HLM)</i>,
    edited by ieee-holm, IEEE, 2025, <a href="https://doi.org/10.1109/hlm51652.2025.11278329">https://doi.org/10.1109/hlm51652.2025.11278329</a>.
  short: M. Blauth, S. Tülling, J. Song, Effect of Operating Temperature and Application
    Quantity of Lubricants on the Fretting Behavior of Silver Plated Electrical Contacts,
    IEEE, Piscataway, NJ, 2025.
  ufg: '<b>Blauth, Michael/Tülling, Sören/Song, Jian</b>: Effect of Operating Temperature
    and Application Quantity of Lubricants on the Fretting Behavior of Silver Plated
    Electrical Contacts, hg. von ieee-holm, Piscataway, NJ 2025 (Electrical contacts).'
  van: 'Blauth M, Tülling S, Song J. Effect of Operating Temperature and Application
    Quantity of Lubricants on the Fretting Behavior of Silver Plated Electrical Contacts.
    ieee-holm, editor. Proceedings of the 70th IEEE Holm Conference on Electrical
    Contacts (HLM). Piscataway, NJ: IEEE; 2025. (Electrical contacts).'
conference:
  end_date: 2025-10-22
  location: 'San Antonio, TX, USA '
  name: 70th Holm Conference on Electrical Contacts (HLM)
  start_date: 2025-10-15
corporate_editor:
- ieee-holm
date_created: 2026-02-24T14:48:06Z
date_updated: 2026-02-27T11:06:57Z
department:
- _id: DEP6000
- _id: DEP6012
doi: 10.1109/hlm51652.2025.11278329
keyword:
- Connectors
- Resistance
- Silver
- Lubricants
- Contacts
- Oils
- Friction
- Corrosion
- Optimization
language:
- iso: eng
place: Piscataway, NJ
publication: Proceedings of the 70th IEEE Holm Conference on Electrical Contacts (HLM)
publication_identifier:
  eisbn:
  - 979-8-3315-5996-0
  isbn:
  - 979-8-3315-5997-7
  issn:
  - 2158-9992
publication_status: published
publisher: IEEE
series_title: Electrical contacts
status: public
title: Effect of Operating Temperature and Application Quantity of Lubricants on the
  Fretting Behavior of Silver Plated Electrical Contacts
type: conference_editor_article
user_id: '83778'
year: '2025'
...
---
_id: '10985'
abstract:
- lang: eng
  text: This thesis examines the impacts of scene and rendering optimizations techniques
    aimed for GPU rendering within the realm of animated scene for offline rendering.
    Focusing on the unique challenges posed by dynamic animations, the research explores
    how these rendering approaches impact rendering speed, memory efficiency, and
    the attainment of lifelike visual quality. Using Octane render as ground for analysis,
    this study aims to uncover how scene optimizations intersect with the demands
    of animated content. Through meticulous comparison, this thesis endeavours to
    provide insights that empower rendering practitioners and animators to go through
    optimization strategies, bridging the gap between efficient resource allocation
    and the pursuit of captivating visual.
author:
- first_name: Lucas
  full_name: De Melo Bernardino, Lucas
  id: '72490'
  last_name: De Melo Bernardino
citation:
  ama: 'De Melo Bernardino L. <i>Enhancing GPU Rendering Efficiency through Scene
    Optimizations: A Case Study Using Octane for Cinema 4D</i>. Technischen Hochschule
    Ostwestfahlen-Lippe; 2024.'
  apa: 'De Melo Bernardino, L. (2024). <i>Enhancing GPU Rendering Efficiency through
    Scene Optimizations: A Case Study using Octane for Cinema 4D</i>. Technischen
    Hochschule Ostwestfahlen-Lippe.'
  bjps: '<b>De Melo Bernardino L</b> (2024) <i>Enhancing GPU Rendering Efficiency
    through Scene Optimizations: A Case Study Using Octane for Cinema 4D</i>. Detmold:
    Technischen Hochschule Ostwestfahlen-Lippe.'
  chicago: 'De Melo Bernardino, Lucas. <i>Enhancing GPU Rendering Efficiency through
    Scene Optimizations: A Case Study Using Octane for Cinema 4D</i>. Detmold: Technischen
    Hochschule Ostwestfahlen-Lippe, 2024.'
  chicago-de: 'De Melo Bernardino, Lucas. 2024. <i>Enhancing GPU Rendering Efficiency
    through Scene Optimizations: A Case Study using Octane for Cinema 4D</i>. Detmold:
    Technischen Hochschule Ostwestfahlen-Lippe.'
  din1505-2-1: '<span style="font-variant:small-caps;">De Melo Bernardino, Lucas</span>:
    <i>Enhancing GPU Rendering Efficiency through Scene Optimizations: A Case Study
    using Octane for Cinema 4D</i>. Detmold : Technischen Hochschule Ostwestfahlen-Lippe,
    2024'
  havard: 'L. De Melo Bernardino, Enhancing GPU Rendering Efficiency through Scene
    Optimizations: A Case Study using Octane for Cinema 4D, Technischen Hochschule
    Ostwestfahlen-Lippe, Detmold, 2024.'
  ieee: 'L. De Melo Bernardino, <i>Enhancing GPU Rendering Efficiency through Scene
    Optimizations: A Case Study using Octane for Cinema 4D</i>. Detmold: Technischen
    Hochschule Ostwestfahlen-Lippe, 2024.'
  mla: 'De Melo Bernardino, Lucas. <i>Enhancing GPU Rendering Efficiency through Scene
    Optimizations: A Case Study Using Octane for Cinema 4D</i>. Technischen Hochschule
    Ostwestfahlen-Lippe, 2024.'
  short: 'L. De Melo Bernardino, Enhancing GPU Rendering Efficiency through Scene
    Optimizations: A Case Study Using Octane for Cinema 4D, Technischen Hochschule
    Ostwestfahlen-Lippe, Detmold, 2024.'
  ufg: '<b>De Melo Bernardino, Lucas</b>: Enhancing GPU Rendering Efficiency through
    Scene Optimizations: A Case Study using Octane for Cinema 4D, Detmold 2024.'
  van: 'De Melo Bernardino L. Enhancing GPU Rendering Efficiency through Scene Optimizations:
    A Case Study using Octane for Cinema 4D. Detmold: Technischen Hochschule Ostwestfahlen-Lippe;
    2024. 55 p.'
date_created: 2024-02-01T07:25:50Z
date_updated: 2024-02-01T12:56:04Z
ddc:
- '770'
defense_date: 2024-01-29
department:
- _id: DEP2001
file:
- access_level: open_access
  content_type: application/pdf
  creator: adm-hemke
  date_created: 2024-02-01T12:50:55Z
  date_updated: 2024-02-01T12:50:55Z
  file_id: '10990'
  file_name: EnhancingGPU_RenderingEfficiencyThroughSceneOptimizations.pdf
  file_size: 54572345
  relation: main_file
  success: 1
file_date_updated: 2024-02-01T12:50:55Z
has_accepted_license: '1'
keyword:
- GPU Rendering
- Scene Optimization
- 3D Rendering
- Cinema 4D
- Octane Render
language:
- iso: eng
oa: '1'
page: '55'
place: Detmold
publication_status: published
publisher: Technischen Hochschule Ostwestfahlen-Lippe
status: public
supervisor:
- first_name: Rico
  full_name: Dober, Rico
  id: '76705'
  last_name: Dober
- first_name: Jennifer
  full_name: Meier, Jennifer
  id: '85353'
  last_name: Meier
title: 'Enhancing GPU Rendering Efficiency through Scene Optimizations: A Case Study
  using Octane for Cinema 4D'
type: bachelor_thesis
user_id: '83781'
year: '2024'
...
---
_id: '12009'
abstract:
- lang: eng
  text: '<jats:title>Abstract</jats:title><jats:p>Traditional work models often need
    more flexibility and time autonomy for employees, especially in manufacturing.
    Quantitative approaches and Artificial Intelligence (AI) applications offer the
    potential to improve work design. However, current research does not entirely
    focus on human-centric criteria that enable time autonomy. This paper addresses
    this gap by developing a set of criteria to evaluate intelligent personnel planning
    approaches based on their ability to enhance time autonomy for employees. Existing
    quantitative approaches are not sufficient to fully integrate the developed criteria.</jats:p><jats:p>Consequently,
    a novel model approach is proposed in an attempt to bridge the gap between current
    practices and the newly developed criteria. This two-stage planning approach fosters
    democratization of time autonomy on the shopfloor, moving beyond traditional top-down
    scheduling. The paper concludes by outlining the implementation process and discusses
    future developments with respect to AI for this model approach.</jats:p><jats:p><jats:italic>Practical
    Relevance</jats:italic>: In order to make working conditions on the shopfloor
    in high-wage countries more attractive, an alternative organization of shift work
    is needed. Intelligent planning approaches that combine traditional operations
    research methods with artificial intelligence approaches can democratize shift
    organization regarding time autonomy. Planning that takes both employee and employer
    preferences into account in a balanced way will strengthen the long-term competitiveness
    of manufacturing companies in high-wage countries and counteract the shortage
    of skilled labor.</jats:p>'
author:
- first_name: Benedikt
  full_name: Latos, Benedikt
  id: '84474'
  last_name: Latos
- first_name: Armin
  full_name: Buckhorst, Armin
  last_name: Buckhorst
- first_name: Peyman
  full_name: Kalantar, Peyman
  id: '85984'
  last_name: Kalantar
- first_name: Dominik
  full_name: Bentler, Dominik
  last_name: Bentler
- first_name: Stefan
  full_name: Gabriel, Stefan
  last_name: Gabriel
- first_name: Roman
  full_name: Dumitrescu, Roman
  last_name: Dumitrescu
- first_name: Michael
  full_name: Minge, Michael
  id: '78302'
  last_name: Minge
  orcid: 0000-0003-1930-7064
- first_name: Barbara
  full_name: Steinmann, Barbara
  id: '77747'
  last_name: Steinmann
  orcid: 0009-0000-3036-2684
- first_name: Nadine
  full_name: Guhr, Nadine
  id: '77748'
  last_name: Guhr
  orcid: 0000-0001-8812-1488
citation:
  ama: 'Latos B, Buckhorst A, Kalantar P, et al. Time autonomy in personnel planning:
    Requirements and solution approaches in the context of intelligent scheduling
    from a holistic organizational perspective . <i>Zeitschrift für Arbeitswissenschaft</i>.
    2024;78(3):277-298. doi:<a href="https://doi.org/10.1007/s41449-024-00432-7">10.1007/s41449-024-00432-7</a>'
  apa: 'Latos, B., Buckhorst, A., Kalantar, P., Bentler, D., Gabriel, S., Dumitrescu,
    R., Minge, M., Steinmann, B., &#38; Guhr, N. (2024). Time autonomy in personnel
    planning: Requirements and solution approaches in the context of intelligent scheduling
    from a holistic organizational perspective . <i>Zeitschrift Für Arbeitswissenschaft</i>,
    <i>78</i>(3), 277–298. <a href="https://doi.org/10.1007/s41449-024-00432-7">https://doi.org/10.1007/s41449-024-00432-7</a>'
  bjps: '<b>Latos B <i>et al.</i></b> (2024) Time Autonomy in Personnel Planning:
    Requirements and Solution Approaches in the Context of Intelligent Scheduling
    from a Holistic Organizational Perspective . <i>Zeitschrift für Arbeitswissenschaft</i>
    <b>78</b>, 277–298.'
  chicago: 'Latos, Benedikt, Armin Buckhorst, Peyman Kalantar, Dominik Bentler, Stefan
    Gabriel, Roman Dumitrescu, Michael Minge, Barbara Steinmann, and Nadine Guhr.
    “Time Autonomy in Personnel Planning: Requirements and Solution Approaches in
    the Context of Intelligent Scheduling from a Holistic Organizational Perspective
    .” <i>Zeitschrift Für Arbeitswissenschaft</i> 78, no. 3 (2024): 277–98. <a href="https://doi.org/10.1007/s41449-024-00432-7">https://doi.org/10.1007/s41449-024-00432-7</a>.'
  chicago-de: 'Latos, Benedikt, Armin Buckhorst, Peyman Kalantar, Dominik Bentler,
    Stefan Gabriel, Roman Dumitrescu, Michael Minge, Barbara Steinmann und Nadine
    Guhr. 2024. Time autonomy in personnel planning: Requirements and solution approaches
    in the context of intelligent scheduling from a holistic organizational perspective
    . <i>Zeitschrift für Arbeitswissenschaft</i> 78, Nr. 3: 277–298. doi:<a href="https://doi.org/10.1007/s41449-024-00432-7">10.1007/s41449-024-00432-7</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;"><span style="font-variant:small-caps;">Latos,
    Benedikt</span> ; <span style="font-variant:small-caps;">Buckhorst, Armin</span>
    ; <span style="font-variant:small-caps;">Kalantar, Peyman</span> ; <span style="font-variant:small-caps;">Bentler,
    Dominik</span> ; <span style="font-variant:small-caps;">Gabriel, Stefan</span>
    ; <span style="font-variant:small-caps;">Dumitrescu, Roman</span> ; <span style="font-variant:small-caps;">Minge,
    Michael</span> ; <span style="font-variant:small-caps;">Steinmann, Barbara</span>
    ; u. a.</span>: Time autonomy in personnel planning: Requirements and solution
    approaches in the context of intelligent scheduling from a holistic organizational
    perspective . In: <i>Zeitschrift für Arbeitswissenschaft</i> Bd. 78. Heidelberg,
    Springer-Verlag GmbH (2024), Nr. 3, S. 277–298'
  havard: 'B. Latos, A. Buckhorst, P. Kalantar, D. Bentler, S. Gabriel, R. Dumitrescu,
    M. Minge, B. Steinmann, N. Guhr, Time autonomy in personnel planning: Requirements
    and solution approaches in the context of intelligent scheduling from a holistic
    organizational perspective , Zeitschrift Für Arbeitswissenschaft. 78 (2024) 277–298.'
  ieee: 'B. Latos <i>et al.</i>, “Time autonomy in personnel planning: Requirements
    and solution approaches in the context of intelligent scheduling from a holistic
    organizational perspective ,” <i>Zeitschrift für Arbeitswissenschaft</i>, vol.
    78, no. 3, pp. 277–298, 2024, doi: <a href="https://doi.org/10.1007/s41449-024-00432-7">10.1007/s41449-024-00432-7</a>.'
  mla: 'Latos, Benedikt, et al. “Time Autonomy in Personnel Planning: Requirements
    and Solution Approaches in the Context of Intelligent Scheduling from a Holistic
    Organizational Perspective .” <i>Zeitschrift Für Arbeitswissenschaft</i>, vol.
    78, no. 3, 2024, pp. 277–98, <a href="https://doi.org/10.1007/s41449-024-00432-7">https://doi.org/10.1007/s41449-024-00432-7</a>.'
  short: B. Latos, A. Buckhorst, P. Kalantar, D. Bentler, S. Gabriel, R. Dumitrescu,
    M. Minge, B. Steinmann, N. Guhr, Zeitschrift Für Arbeitswissenschaft 78 (2024)
    277–298.
  ufg: '<b>Latos, Benedikt u. a.</b>: Time autonomy in personnel planning: Requirements
    and solution approaches in the context of intelligent scheduling from a holistic
    organizational perspective , in: <i>Zeitschrift für Arbeitswissenschaft</i> 78
    (2024), H. 3,  S. 277–298.'
  van: 'Latos B, Buckhorst A, Kalantar P, Bentler D, Gabriel S, Dumitrescu R, et al.
    Time autonomy in personnel planning: Requirements and solution approaches in the
    context of intelligent scheduling from a holistic organizational perspective .
    Zeitschrift für Arbeitswissenschaft. 2024;78(3):277–98.'
date_created: 2024-10-28T09:08:47Z
date_updated: 2024-10-28T15:09:13Z
department:
- _id: DEP1523
doi: 10.1007/s41449-024-00432-7
intvolume: '        78'
issue: '3'
keyword:
- Personnel Planning
- Time Autonomy
- Human-Centric Optimization
- Artificial Intelligence
- Manufacturing
language:
- iso: eng
page: 277-298
place: Heidelberg
publication: Zeitschrift für Arbeitswissenschaft
publication_identifier:
  eissn:
  - 2366-4681
  issn:
  - 0340-2444
publication_status: published
publisher: Springer-Verlag GmbH
quality_controlled: '1'
status: public
title: 'Time autonomy in personnel planning: Requirements and solution approaches
  in the context of intelligent scheduling from a holistic organizational perspective '
type: scientific_journal_article
user_id: '83781'
volume: 78
year: '2024'
...
---
_id: '13335'
abstract:
- lang: eng
  text: "The process of thermal preservation of liquid foods is a safety-relevant
    process step in the processing of products such as fruit juices and is associated
    with a high-energy expenditure and safety margin. There are already various approaches
    to improve this conventionally managed process step in terms of product and resource
    preservation. Compared to these novel technologies, the use of real-time process
    analytics offers great potential to improve already existing process plants by
    implementing inline capable process analytical tools. This allows direct control
    of the reactions taking place and changes during the running process. Instead
    of post process, random product control, quality control during the process can
    be made rendered. The chemical and pharmaceutical industry serves as a reference
    industry for the use of process analytical tools, although the reactions and product
    matrices are less complex. In the food industry, on the other hand, there is a
    greater variation in raw materials and intermediate products. In addition, a large
    number of reactions can take place in parallel within a process, and the physical
    states and properties of the individual components can vary. A uniform set of
    rules for the use of process analytical tools does not exist here. Each product,
    each process provides its own research potential, so that a large research gap
    opens up in the area of the food industry.\r\nIn order to contribute to closing
    this gap, this thesis presents a novel approach to improve the process of pasteurization
    of liquid food. For fruit juices as an application, near infrared spectroscopy
    in combination with chemometric methods was applied to make the process more product
    specific. Based on known weaknesses of the process, the relevant aspects for a
    product-specific treatment were identified. In the further course, the suitability
    of near infrared spectroscopy as a process analytical tool in the process of pasteurization
    was verified. Moreover, it was investigated whether a sufficiently accurate identification
    of the product type as well as the microbiologically relevant properties can be
    achieved by the application of chemometric methods. In the course of this, the
    suitability of the measurement methodology was confirmed and solutions were established
    for any process influences. The product classification and description of the
    microbiologically relevant parameters extract content and pH value were also implemented
    with sufficient accuracy. Knowing the destruction kinetics of relevant microorganisms,
    the product-specific determination of target values for the necessary lethal heat
    input could be realized. In addition, an analysis of the actual values was carried
    out on the basis of a chemometric regression method by inferring the microbiological
    pasteurization effect through the chemical reaction of acid hydrolytic sucrose
    degradation by means of the indirect approach. This required knowledge of the
    chemical reaction kinetics and mahematical modeling of the degradation behavior.
    The novel approach could be confirmed by calculations using results from off-line
    analysis, whereas the use of near infrared spectroscopy as an inline method still
    revealed potential for optimization with respect to measurement accuracies.\r\nIn
    summary, the results of this work provide a promising opportunity to make conventional
    processes for the preservation of liquid foods more product-specific by using
    near-infrared spectroscopy as an inline-capable and multimodal sensor technique,
    leading to an increase in process efficiency and product quality."
- lang: ger
  text: "Der Prozess der thermischen Haltbarmachung von flüssigen Lebensmitteln ist
    ein sicherheitsrelevanter Prozessschritt in der Verarbeitung von Produkten wie
    Fruchtsäften und ist mit einem hohen energetischen Aufwand und Sicherheitszuschlag
    verbunden. Um diesen konventionell geführten Prozessschritt hinsichtlich Produkt-
    und Ressourcenschonung zu optimieren, gibt es bereits verschiedene Ansätze. Im
    Vergleich zu neuartigen Technologien bietet der Einsatz von Echtzeit-Prozessanalytik
    großes Potential bereits bestehende Prozessanlagen durch die Implementierung inlinefähiger
    Prozessanalysetools zu verbessern. Dies ermöglicht eine Kontrolle ablaufender
    Reaktionen im laufenden Prozess. Anstelle nachgelagerter, stichprobenartiger Produktkontrolle
    kann eine Qualitätslenkung im Prozess erfolgen. Vorbildindustrie bezüglich des
    Einsatzes von Prozessanalysetools ist die pharmazeutische Industrie, wo Reaktionen
    und Produktmatrices allerdings weniger komplex sind. In der Lebensmittelindustrie
    gibt es eine größere Schwankungsbreite der Rohstoffe und Zwischenprodukte. Zudem
    können innerhalb eines Prozesses eine Vielzahl an Reaktionen parallel ablaufen
    und die Zustandsformen und Eigenschaften der einzelnen Komponenten variieren.
    Ein einheitliches Regelwerk zum Einsatz der Prozessanalysetools existiert nicht.
    Jedes Produkt, jeder Prozess liefert eigenes Forschungspotential, sodass sich
    im Bereich der Lebensmittelindustrie eine große Forschungslücke auftut.\r\nUm
    einen Beitrag zur Schließung dieser Lücke zu leisten, zeigt diese Arbeit einen
    neuartigen Lösungsansatz auf, um den Prozess der Pasteurisation flüssiger Lebensmittel
    zu verbessern. Am Anwendungsfall von Fruchtsäften wurde der Einsatz von Nahinfrarotspektroskopie
    in Kombination mit chemometrischen Methoden genutzt, um den Prozess produktspezifischer
    zu gestalten. Ausgehend von bekannten Schwachstellen des Prozesses wurden die
    relevanten Aspekte identifiziert, deren Kenntnis für eine produktspezifische Behandlung
    relevant sind. Angefangen mit der Überprüfung der Eignung von Nahinfrarotspektroskopie
    als Prozessanalysetool im Prozess der Pasteurisation, wurde untersucht, ob eine
    Identifikation des Produkttyps sowie der mikrobiologisch relevanten Eigenschaften
    durch die Anwendung chemometrischer Methoden erfolgen kann. In diesem Zuge konnte
    eine Eignung der Messmethodik bestätigt werden und für etwaige Prozesseinflüsse
    Lösungsansätze etabliert werden. Auch die Produktklassifizierung und Beschreibung
    der mikrobiologisch relevanten Parameter Extraktgehalt und pH-Wert wurden hinreichend
    genau umgesetzt. Unter Kenntnis der Abtötungskinetiken entsprechend relevanter
    Mikroorganismen konnte die produktspezifische Ermittlung für Sollwerte des notwendigen
    letalen Hitzeeintrags realisiert werden. Im Weiteren wurde eine Analyse der Ist-Werte
    auf Basis einer chemometrischen Regressionsmethode durchgeführt, indem mittels
    des indirekten Ansatzes über die chemische Reaktion der säurehydrolytischen Saccharosedegradation
    auf den mikrobiologischen Pasteurisationseffekt geschlossen wurde. Dazu war die
    Kenntnis der chemischen Reaktionskinetik notwendig und die mathematische Modellierung
    des Abbauverhaltens. Der neuartige Ansatz konnte mittels Berechnungen unter Verwendung
    von Ergebnissen der Offline-Analytik bestätigt werden. Der Einsatz von Nahinfrarotspektroskopie
    als Inline- Methode hingegen offenbarte Optimierungspotenzial hinsichtlich der
    Messgenauigkeiten.\r\nZusammenfassend liefern die Ergebnisse dieser Arbeit eine
    vielversprechende Möglichkeit herkömmliche Prozesse zur Haltbarmachung von flüssigen
    Lebensmitteln durch den Einsatz von Nahinfrarotspektroskopie als inlinefähige,
    multimodale Sensortechnik produktspezifischer zu gestalten, was zur Steigerung
    der Prozesseffizienz und Produktqualität führt."
author:
- first_name: Imke
  full_name: Weishaupt, Imke
  id: '58425'
  last_name: Weishaupt
citation:
  ama: Weishaupt I. <i>Near Infrared Spectroscopy as Inline Analytical Tool to Optimize
    the Pasteurization Process of Liquid Foods</i>. Technische Universität Berlin;
    2023. doi:<a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>
  apa: Weishaupt, I. (2023). <i>Near infrared spectroscopy as inline analytical tool
    to optimize the pasteurization process of liquid foods</i>. Technische Universität
    Berlin. <a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>
  bjps: '<b>Weishaupt I</b> (2023) <i>Near Infrared Spectroscopy as Inline Analytical
    Tool to Optimize the Pasteurization Process of Liquid Foods</i>. Berlin: Technische
    Universität Berlin.'
  chicago: 'Weishaupt, Imke. <i>Near Infrared Spectroscopy as Inline Analytical Tool
    to Optimize the Pasteurization Process of Liquid Foods</i>. Berlin: Technische
    Universität Berlin, 2023. <a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>.'
  chicago-de: 'Weishaupt, Imke. 2023. <i>Near infrared spectroscopy as inline analytical
    tool to optimize the pasteurization process of liquid foods</i>. Berlin: Technische
    Universität Berlin. doi:<a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Weishaupt, Imke</span>: <i>Near
    infrared spectroscopy as inline analytical tool to optimize the pasteurization
    process of liquid foods</i>. Berlin : Technische Universität Berlin, 2023'
  havard: I. Weishaupt, Near infrared spectroscopy as inline analytical tool to optimize
    the pasteurization process of liquid foods, Technische Universität Berlin, Berlin,
    2023.
  ieee: 'I. Weishaupt, <i>Near infrared spectroscopy as inline analytical tool to
    optimize the pasteurization process of liquid foods</i>. Berlin: Technische Universität
    Berlin, 2023. doi: <a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>.'
  mla: Weishaupt, Imke. <i>Near Infrared Spectroscopy as Inline Analytical Tool to
    Optimize the Pasteurization Process of Liquid Foods</i>. Technische Universität
    Berlin, 2023, <a href="https://doi.org/10.14279/depositonce-17804">https://doi.org/10.14279/depositonce-17804</a>.
  short: I. Weishaupt, Near Infrared Spectroscopy as Inline Analytical Tool to Optimize
    the Pasteurization Process of Liquid Foods, Technische Universität Berlin, Berlin,
    2023.
  ufg: '<b>Weishaupt, Imke</b>: Near infrared spectroscopy as inline analytical tool
    to optimize the pasteurization process of liquid foods, Berlin 2023.'
  van: 'Weishaupt I. Near infrared spectroscopy as inline analytical tool to optimize
    the pasteurization process of liquid foods. Berlin: Technische Universität Berlin;
    2023. 144 p.'
date_created: 2026-01-09T11:56:40Z
date_updated: 2026-01-12T08:47:34Z
defense_date: 2023-05-05
department:
- _id: DEP4028
doi: https://doi.org/10.14279/depositonce-17804
keyword:
- fruit juice pasteurization
- near infrared spectroscopy
- process optimization
- multivariate statistics
- inline process analytics
- Fruchtsaftpasteurisation
- Prozessoptimierung
- Nahinfrarotspektroskopie
- multivariate Statistik
- Inline-Prozessanalytik
language:
- iso: eng
page: '144'
place: Berlin
publication_status: published
publisher: Technische Universität Berlin
status: public
supervisor:
- first_name: 'Juri '
  full_name: 'Rappsilber, Juri '
  last_name: Rappsilber
- first_name: 'Peter '
  full_name: 'Neubauer, Peter '
  last_name: Neubauer
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
- first_name: 'Leif-Alexander '
  full_name: 'Garbe, Leif-Alexander '
  last_name: Garbe
title: Near infrared spectroscopy as inline analytical tool to optimize the pasteurization
  process of liquid foods
type: dissertation
user_id: '83781'
year: '2023'
...
---
_id: '10787'
abstract:
- lang: eng
  text: Cyber-physical production systems have emerged with the rise of Industry 4.0
    in different industrial fields. Especially the food sector, where inhomogeneous
    input products like beer/yeast suspensions with different qualities and properties
    have yet slowed down automation, has potential for this evolution. This contribution
    presents optimization methods for a dynamical cross-flow filtration plant which
    is driven by an advanced control concept in combination with data driven product
    monitoring via inline near infrared spectroscopy (NIR) in order to improve energy
    savings and filtration performance. Using a hierarchical control and optimization
    structure, the non stationary batch process is steered towards a high production
    rate with low energy consumption for a variety of different input products.
author:
- first_name: Jörn
  full_name: Tebbe, Jörn
  id: '79072'
  last_name: Tebbe
- first_name: Thomas
  full_name: Pawlik, Thomas
  id: '58915'
  last_name: Pawlik
- first_name: Marc
  full_name: Trilling-Haasler, Marc
  id: '81622'
  last_name: Trilling-Haasler
  orcid: 0000-0002-3685-6383
- first_name: Jannis
  full_name: Löbner, Jannis
  id: '74097'
  last_name: Löbner
- first_name: Markus
  full_name: Lange-Hegermann, Markus
  id: '71761'
  last_name: Lange-Hegermann
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
citation:
  ama: Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider
    J. <i>Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards
    a Cyber-Physical System</i>. (Jasperneite J, Wisniewski L, Fung Man K, Institute
    of Electrical and Electronics Engineers , eds.). IEEE; 2023:1-7. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217913">10.1109/INDIN51400.2023.10217913</a>
  apa: Tebbe, J., Pawlik, T., Trilling-Haasler, M., Löbner, J., Lange-Hegermann, M.,
    &#38; Schneider, J. (2023). Holistic optimization of a dynamic cross-flow filtration
    process towards a cyber-physical system. In J. Jasperneite, L. Wisniewski, K.
    Fung Man, &#38; Institute of Electrical and Electronics Engineers  (Eds.), <i>2023
    IEEE 21st International Conference on Industrial Informatics (INDIN)</i> (pp.
    1–7). IEEE. <a href="https://doi.org/10.1109/INDIN51400.2023.10217913">https://doi.org/10.1109/INDIN51400.2023.10217913</a>
  bjps: '<b>Tebbe J <i>et al.</i></b> (2023) <i>Holistic Optimization of a Dynamic
    Cross-Flow Filtration Process towards a Cyber-Physical System</i>, Jasperneite
    J et al. (eds). [Piscataway, NJ]: IEEE.'
  chicago: 'Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus
    Lange-Hegermann, and Jan Schneider. <i>Holistic Optimization of a Dynamic Cross-Flow
    Filtration Process towards a Cyber-Physical System</i>. Edited by Jürgen Jasperneite,
    Lukasz Wisniewski, Kim Fung Man, and Institute of Electrical and Electronics Engineers
    . <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>.
    [Piscataway, NJ]: IEEE, 2023. <a href="https://doi.org/10.1109/INDIN51400.2023.10217913">https://doi.org/10.1109/INDIN51400.2023.10217913</a>.'
  chicago-de: 'Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus
    Lange-Hegermann und Jan Schneider. 2023. <i>Holistic optimization of a dynamic
    cross-flow filtration process towards a cyber-physical system</i>. Hg. von Jürgen
    Jasperneite, Lukasz Wisniewski, Kim Fung Man, und Institute of Electrical and
    Electronics Engineers . <i>2023 IEEE 21st International Conference on Industrial
    Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217913">10.1109/INDIN51400.2023.10217913</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Tebbe, Jörn</span> ; <span
    style="font-variant:small-caps;">Pawlik, Thomas</span> ; <span style="font-variant:small-caps;">Trilling-Haasler,
    Marc</span> ; <span style="font-variant:small-caps;">Löbner, Jannis</span> ; <span
    style="font-variant:small-caps;">Lange-Hegermann, Markus</span> ; <span style="font-variant:small-caps;">Schneider,
    Jan</span> ; <span style="font-variant:small-caps;">Jasperneite, J.</span> ; <span
    style="font-variant:small-caps;">Wisniewski, L.</span> ; <span style="font-variant:small-caps;">Fung
    Man, K.</span> ; <span style="font-variant:small-caps;">Institute of Electrical
    and Electronics Engineers </span> (Hrsg.): <i>Holistic optimization of a dynamic
    cross-flow filtration process towards a cyber-physical system</i>. [Piscataway,
    NJ] : IEEE, 2023'
  havard: J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
    J. Schneider, Holistic optimization of a dynamic cross-flow filtration process
    towards a cyber-physical system, IEEE, [Piscataway, NJ], 2023.
  ieee: 'J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
    and J. Schneider, <i>Holistic optimization of a dynamic cross-flow filtration
    process towards a cyber-physical system</i>. [Piscataway, NJ]: IEEE, 2023, pp.
    1–7. doi: <a href="https://doi.org/10.1109/INDIN51400.2023.10217913">10.1109/INDIN51400.2023.10217913</a>.'
  mla: Tebbe, Jörn, et al. “Holistic Optimization of a Dynamic Cross-Flow Filtration
    Process towards a Cyber-Physical System.” <i>2023 IEEE 21st International Conference
    on Industrial Informatics (INDIN)</i>, edited by Jürgen Jasperneite et al., IEEE,
    2023, pp. 1–7, <a href="https://doi.org/10.1109/INDIN51400.2023.10217913">https://doi.org/10.1109/INDIN51400.2023.10217913</a>.
  short: J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
    J. Schneider, Holistic Optimization of a Dynamic Cross-Flow Filtration Process
    towards a Cyber-Physical System, IEEE, [Piscataway, NJ], 2023.
  ufg: '<b>Tebbe, Jörn u. a.</b>: Holistic optimization of a dynamic cross-flow filtration
    process towards a cyber-physical system, hg. von Jasperneite, Jürgen u. a., [Piscataway,
    NJ] 2023.'
  van: 'Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider
    J. Holistic optimization of a dynamic cross-flow filtration process towards a
    cyber-physical system. Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical
    and Electronics Engineers , editors. 2023 IEEE 21st International Conference on
    Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.'
conference:
  end_date: 2023-07-20
  location: Lemgo
  name: 21st International Conference on Industrial Informatics ; INDIN 2023
  start_date: 2023-07-17
corporate_editor:
- 'Institute of Electrical and Electronics Engineers '
date_created: 2023-11-21T08:04:41Z
date_updated: 2025-06-26T07:48:22Z
department:
- _id: DEP4018
- _id: DEP1308
- _id: DEP4028
doi: 10.1109/INDIN51400.2023.10217913
editor:
- first_name: Jürgen
  full_name: Jasperneite, Jürgen
  id: '1899'
  last_name: Jasperneite
- first_name: Lukasz
  full_name: Wisniewski, Lukasz
  id: '1710'
  last_name: Wisniewski
- first_name: Kim
  full_name: Fung Man, Kim
  last_name: Fung Man
keyword:
- Spectroscopy
- Production systems
- Filtration
- Velocity control
- Optimization methods
- Cyber-physical systems
- Nonhomogeneous media
language:
- iso: eng
page: 1-7
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_identifier:
  eisbn:
  - 978-1-6654-9313-0
  isbn:
  - '978-1-6654-9314-7 '
  issn:
  - 1935-4576
publication_status: published
publisher: IEEE
status: public
title: Holistic optimization of a dynamic cross-flow filtration process towards a
  cyber-physical system
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '11428'
abstract:
- lang: eng
  text: Systems that place high demands on availability are typically modular in design.
    However, a modular design also offers potential for optimized operation under
    norma requirements. In this paper we present an approach to find optimal operating
    points from the characteristic fields of individual modules. Our approach consists
    of a two-step procedure. In the first stage, Pareto sets are calculated using
    the NSGA-II genetic algorithm. The second stage contains a heuristic that finds
    situationally optimal operating points using a defined operating strategy.
author:
- first_name: Maximilian
  full_name: Lammersen, Maximilian
  id: '81623'
  last_name: Lammersen
  orcid: 0009-0001-9092-9088
- first_name: Rainer
  full_name: Rasche, Rainer
  id: '74574'
  last_name: Rasche
citation:
  ama: Lammersen M, Rasche R. <i>Optimized Operating Points for Power Electronic Building
    Blocks</i>. *
  apa: Lammersen, M., &#38; Rasche, R. (n.d.). Optimized Operating Points for Power
    Electronic Building Blocks. In <i>Conference proceedings of Mecatronics &#38;
    AISM 2023</i>. Mecatronics &#38; AISM2023, Yokohama. *.
  bjps: <b>Lammersen M and Rasche R</b> (n.d.) <i>Optimized Operating Points for Power
    Electronic Building Blocks</i>. *.
  chicago: Lammersen, Maximilian, and Rainer Rasche. <i>Optimized Operating Points
    for Power Electronic Building Blocks</i>. <i>Conference Proceedings of Mecatronics
    &#38; AISM 2023</i>. *, n.d.
  chicago-de: Lammersen, Maximilian und Rainer Rasche. <i>Optimized Operating Points
    for Power Electronic Building Blocks</i>. <i>Conference proceedings of Mecatronics
    &#38; AISM 2023</i>. *.
  din1505-2-1: '<span style="font-variant:small-caps;">Lammersen, Maximilian</span>
    ; <span style="font-variant:small-caps;">Rasche, Rainer</span>: <i>Optimized Operating
    Points for Power Electronic Building Blocks</i> : *'
  havard: M. Lammersen, R. Rasche, Optimized Operating Points for Power Electronic
    Building Blocks, *, n.d.
  ieee: M. Lammersen and R. Rasche, <i>Optimized Operating Points for Power Electronic
    Building Blocks</i>. *.
  mla: Lammersen, Maximilian, and Rainer Rasche. “Optimized Operating Points for Power
    Electronic Building Blocks.” <i>Conference Proceedings of Mecatronics &#38; AISM
    2023</i>, *.
  short: M. Lammersen, R. Rasche, Optimized Operating Points for Power Electronic
    Building Blocks, *, n.d.
  ufg: '<b>Lammersen, Maximilian/Rasche, Rainer</b>: Optimized Operating Points for
    Power Electronic Building Blocks, o. O. u. J. .'
  van: Lammersen M, Rasche R. Optimized Operating Points for Power Electronic Building
    Blocks. Conference proceedings of Mecatronics &#38; AISM 2023. *;
conference:
  end_date: 2023-09-11
  location: Yokohama
  name: Mecatronics & AISM2023
  start_date: 2023-09-09
date_created: 2024-05-02T09:25:01Z
date_updated: 2024-05-15T07:21:59Z
department:
- _id: DEP5026
- _id: DEP6020
keyword:
- modularity
- optimization
- PEBB
- operating strategy
- genetic algorithm
- Pareto
language:
- iso: eng
publication: Conference proceedings of Mecatronics & AISM 2023
publication_status: accepted
publisher: '*'
quality_controlled: '1'
status: public
title: Optimized Operating Points for Power Electronic Building Blocks
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '12806'
abstract:
- lang: eng
  text: Cyber-Physical Systems (CPS) play an essential role in today’s production
    processes, leveraging Artificial Intelligence (AI) to enhance operations such
    as optimization, anomaly detection, and predictive maintenance. This article reviews
    a cognitive architecture for Artificial Intelligence, which has been developed
    to establish a standard framework for integrating AI solutions into existing production
    processes. Given that machines in these processes continuously generate large
    streams of data, Online Machine Learning (OML) is identified as a crucial extension
    to the existing architecture. To substantiate this claim, real-world experiments
    using a slitting machine are conducted, to compare the performance of OML to traditional
    Batch Machine Learning. The assessment of contemporary OML algorithms using a
    real production system is a fundamental innovation in this research. The evaluations
    clearly indicate that OML adds significant value to CPS, and it is strongly recommended
    as an extension of related architectures, such as the cognitive architecture for
    AI discussed in this article. Additionally, surrogate-model-based optimization
    is employed, to determine the optimal hyperparameter settings for the corresponding
    OML algorithms, aiming to achieve peak performance in their respective tasks.
article_number: '11506'
author:
- first_name: Alexander
  full_name: Hinterleitner, Alexander
  last_name: Hinterleitner
- first_name: Richard
  full_name: Schulz, Richard
  last_name: Schulz
- first_name: Lukas
  full_name: Hans, Lukas
  last_name: Hans
- first_name: Aleksandr
  full_name: Subbotin, Aleksandr
  last_name: Subbotin
- first_name: Nils
  full_name: Barthel, Nils
  last_name: Barthel
- first_name: Noah
  full_name: Pütz, Noah
  last_name: Pütz
- first_name: Martin
  full_name: Rosellen, Martin
  last_name: Rosellen
- first_name: Thomas
  full_name: Bartz-Beielstein, Thomas
  last_name: Bartz-Beielstein
- first_name: Christoph
  full_name: Geng, Christoph
  id: '61408'
  last_name: Geng
- first_name: Phillip
  full_name: Priss, Phillip
  last_name: Priss
citation:
  ama: 'Hinterleitner A, Schulz R, Hans L, et al. Online Machine Learning and Surrogate-Model-Based
    Optimization for Improved Production Processes Using a Cognitive Architecture.
    <i>  Applied Sciences : open access journal</i>. 2023;13(20). doi:<a href="https://doi.org/10.3390/app132011506">10.3390/app132011506</a>'
  apa: 'Hinterleitner, A., Schulz, R., Hans, L., Subbotin, A., Barthel, N., Pütz,
    N., Rosellen, M., Bartz-Beielstein, T., Geng, C., &#38; Priss, P. (2023). Online
    Machine Learning and Surrogate-Model-Based Optimization for Improved Production
    Processes Using a Cognitive Architecture. <i>  Applied Sciences : Open Access
    Journal</i>, <i>13</i>(20), Article 11506. <a href="https://doi.org/10.3390/app132011506">https://doi.org/10.3390/app132011506</a>'
  bjps: '<b>Hinterleitner A <i>et al.</i></b> (2023) Online Machine Learning and Surrogate-Model-Based
    Optimization for Improved Production Processes Using a Cognitive Architecture.
    <i>  Applied Sciences : open access journal</i> <b>13</b>.'
  chicago: 'Hinterleitner, Alexander, Richard Schulz, Lukas Hans, Aleksandr Subbotin,
    Nils Barthel, Noah Pütz, Martin Rosellen, Thomas Bartz-Beielstein, Christoph Geng,
    and Phillip Priss. “Online Machine Learning and Surrogate-Model-Based Optimization
    for Improved Production Processes Using a Cognitive Architecture.” <i>  Applied
    Sciences : Open Access Journal</i> 13, no. 20 (2023). <a href="https://doi.org/10.3390/app132011506">https://doi.org/10.3390/app132011506</a>.'
  chicago-de: 'Hinterleitner, Alexander, Richard Schulz, Lukas Hans, Aleksandr Subbotin,
    Nils Barthel, Noah Pütz, Martin Rosellen, Thomas Bartz-Beielstein, Christoph Geng
    und Phillip Priss. 2023. Online Machine Learning and Surrogate-Model-Based Optimization
    for Improved Production Processes Using a Cognitive Architecture. <i>  Applied
    Sciences : open access journal</i> 13, Nr. 20. doi:<a href="https://doi.org/10.3390/app132011506">10.3390/app132011506</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;"><span style="font-variant:small-caps;">Hinterleitner,
    Alexander</span> ; <span style="font-variant:small-caps;">Schulz, Richard</span>
    ; <span style="font-variant:small-caps;">Hans, Lukas</span> ; <span style="font-variant:small-caps;">Subbotin,
    Aleksandr</span> ; <span style="font-variant:small-caps;">Barthel, Nils</span>
    ; <span style="font-variant:small-caps;">Pütz, Noah</span> ; <span style="font-variant:small-caps;">Rosellen,
    Martin</span> ; <span style="font-variant:small-caps;">Bartz-Beielstein, Thomas</span>
    ; u. a.</span>: Online Machine Learning and Surrogate-Model-Based Optimization
    for Improved Production Processes Using a Cognitive Architecture. In: <i>  Applied
    Sciences : open access journal</i> Bd. 13. Basel, MDPI AG (2023), Nr. 20'
  havard: 'A. Hinterleitner, R. Schulz, L. Hans, A. Subbotin, N. Barthel, N. Pütz,
    M. Rosellen, T. Bartz-Beielstein, C. Geng, P. Priss, Online Machine Learning and
    Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive
    Architecture,   Applied Sciences : Open Access Journal. 13 (2023).'
  ieee: 'A. Hinterleitner <i>et al.</i>, “Online Machine Learning and Surrogate-Model-Based
    Optimization for Improved Production Processes Using a Cognitive Architecture,”
    <i>  Applied Sciences : open access journal</i>, vol. 13, no. 20, Art. no. 11506,
    2023, doi: <a href="https://doi.org/10.3390/app132011506">10.3390/app132011506</a>.'
  mla: 'Hinterleitner, Alexander, et al. “Online Machine Learning and Surrogate-Model-Based
    Optimization for Improved Production Processes Using a Cognitive Architecture.”
    <i>  Applied Sciences : Open Access Journal</i>, vol. 13, no. 20, 11506, 2023,
    <a href="https://doi.org/10.3390/app132011506">https://doi.org/10.3390/app132011506</a>.'
  short: 'A. Hinterleitner, R. Schulz, L. Hans, A. Subbotin, N. Barthel, N. Pütz,
    M. Rosellen, T. Bartz-Beielstein, C. Geng, P. Priss,   Applied Sciences : Open
    Access Journal 13 (2023).'
  ufg: '<b>Hinterleitner, Alexander u. a.</b>: Online Machine Learning and Surrogate-Model-Based
    Optimization for Improved Production Processes Using a Cognitive Architecture,
    in: <i>  Applied Sciences : open access journal</i> 13 (2023), H. 20.'
  van: 'Hinterleitner A, Schulz R, Hans L, Subbotin A, Barthel N, Pütz N, et al. Online
    Machine Learning and Surrogate-Model-Based Optimization for Improved Production
    Processes Using a Cognitive Architecture.   Applied Sciences : open access journal.
    2023;13(20).'
date_created: 2025-04-16T07:27:52Z
date_updated: 2025-06-26T07:50:56Z
department:
- _id: DEP5023
doi: 10.3390/app132011506
external_id:
  isi:
  - '001096019200001'
intvolume: '        13'
isi: '1'
issue: '20'
keyword:
- machine learning
- online algorithms
- cyber-physical production systems
- surrogate-based optimization
language:
- iso: eng
place: Basel
publication: '  Applied Sciences : open access journal'
publication_identifier:
  issn:
  - 2076-3417
publication_status: published
publisher: MDPI AG
status: public
title: Online Machine Learning and Surrogate-Model-Based Optimization for Improved
  Production Processes Using a Cognitive Architecture
type: scientific_journal_article
user_id: '83781'
volume: 13
year: '2023'
...
---
_id: '11377'
abstract:
- lang: eng
  text: <jats:p>consuming and often performed rather empirically. Efficient optimization
    of multiple objectives such as process time, viable cell density, number of operating
    steps &amp; cultivation scales, required medium, amount of product as well as
    product quality depicts a promising approach. This contribution presents a workflow
    which couples uncertainty-based upstream simulation and Bayes optimization using
    Gaussian processes. Its application is demonstrated in a simulation case study
    for a relevant industrial task in process development, the design of a robust
    cell culture expansion process (seed train), meaning that despite uncertainties
    and variabilities concerning cell growth, low variations of viable cell density
    during the seed train are obtained. Compared to a non-optimized reference seed
    train, the optimized process showed much lower deviation rates regarding viable
    cell densities (&lt;10% instead of 41.7%) using five or four shake flask scales
    and seed train duration could be reduced by 56 h from 576 h to 520 h. Overall,
    it is shown that applying Bayes optimization allows for optimization of a multi-objective
    optimization function with several optimizable input variables and under a considerable
    amount of constraints with a low computational effort. This approach provides
    the potential to be used in the form of a decision tool, e.g., for the choice
    of an optimal and robust seed train design or for further optimization tasks within
    process development.
article_number: '883'
author:
- first_name: Tanja
  full_name: Hernández Rodriguez, Tanja
  id: '52466'
  last_name: Hernández Rodriguez
- first_name: Anton
  full_name: Sekulic, Anton
  last_name: Sekulic
- first_name: Markus
  full_name: Lange-Hegermann, Markus
  id: '71761'
  last_name: Lange-Hegermann
- first_name: Björn
  full_name: Frahm, Björn
  id: '45666'
  last_name: Frahm
citation:
  ama: Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust
    Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization
    Applied to a Biopharmaceutical Seed Train Design. <i>Processes</i>. 2022;10(5).
    doi:<a href="https://doi.org/10.3390/pr10050883">10.3390/pr10050883</a>
  apa: Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., &#38; Frahm, B.
    (2022). Designing Robust Biotechnological Processes Regarding Variabilities Using
    Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.
    <i>Processes</i>, <i>10</i>(5), Article 883. <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>
  bjps: <b>Hernández Rodriguez T <i>et al.</i></b> (2022) Designing Robust Biotechnological
    Processes Regarding Variabilities Using Multi-Objective Optimization Applied to
    a Biopharmaceutical Seed Train Design. <i>Processes</i> <b>10</b>.
  chicago: Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and
    Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities
    Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.”
    <i>Processes</i> 10, no. 5 (2022). <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>.
  chicago-de: Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann und
    Björn Frahm. 2022. Designing Robust Biotechnological Processes Regarding Variabilities
    Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.
    <i>Processes</i> 10, Nr. 5. doi:<a href="https://doi.org/10.3390/pr10050883">10.3390/pr10050883</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Hernández Rodriguez, Tanja</span>
    ; <span style="font-variant:small-caps;">Sekulic, Anton</span> ; <span style="font-variant:small-caps;">Lange-Hegermann,
    Markus</span> ; <span style="font-variant:small-caps;">Frahm, Björn</span>: Designing
    Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective
    Optimization Applied to a Biopharmaceutical Seed Train Design. In: <i>Processes</i>
    Bd. 10. Basel, MDPI AG (2022), Nr. 5'
  havard: T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing
    Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective
    Optimization Applied to a Biopharmaceutical Seed Train Design, Processes. 10 (2022).
  ieee: 'T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, and B. Frahm, “Designing
    Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective
    Optimization Applied to a Biopharmaceutical Seed Train Design,” <i>Processes</i>,
    vol. 10, no. 5, Art. no. 883, 2022, doi: <a href="https://doi.org/10.3390/pr10050883">10.3390/pr10050883</a>.'
  mla: Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes
    Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical
    Seed Train Design.” <i>Processes</i>, vol. 10, no. 5, 883, 2022, <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>.
  short: T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Processes
    10 (2022).
  ufg: '<b>Hernández Rodriguez, Tanja u. a.</b>: Designing Robust Biotechnological
    Processes Regarding Variabilities Using Multi-Objective Optimization Applied to
    a Biopharmaceutical Seed Train Design, in: <i>Processes</i> 10 (2022), H. 5.'
  van: Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust
    Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization
    Applied to a Biopharmaceutical Seed Train Design. Processes. 2022;10(5).
date_created: 2024-04-25T13:35:04Z
date_updated: 2024-05-21T09:30:15Z
department:
- _id: DEP4000
doi: 10.3390/pr10050883
intvolume: '        10'
issue: '5'
keyword:
- Gaussian processes
- Bayes optimization
- Pareto optimization
- multi-objective
- cell culture
- seed train
language:
- iso: eng
place: Basel
publication: Processes
publication_identifier:
  eissn:
  - 2227-9717
publication_status: published
publisher: MDPI AG
status: public
title: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective
  Optimization Applied to a Biopharmaceutical Seed Train Design
type: scientific_journal_article
user_id: '83781'
volume: 10
year: '2022'
...
---
_id: '8024'
abstract:
- lang: eng
  text: 'For the optimization of the impinging round jet, the pressure force coefficient
    and drying energy consumption on the moving curved surface are set as the objective
    functions to be minimized simultaneously. SHERPA search algorithm is used to search
    for the optimal point from multiple objective tradeoff study (Pareto Front) method.
    It is found that the pressure force coefficient on the impingement surface is
    highly dependent on the jet to surface distance and jet angle, while the drying
    energy consumption is highly dependent on the jet to jet spacing. Generally, the
    best design study during the multi-objective optimization is found at the maximum
    jet to surface distance, jet to jet spacing and surface velocity, and also minimum
    inlet velocity and jet angle. '
article_number: '17'
author:
- first_name: Ali
  full_name: Chitsazan, Ali
  id: '66488'
  last_name: Chitsazan
- first_name: Georg Heinrich
  full_name: Klepp, Georg Heinrich
  id: '49011'
  last_name: Klepp
- first_name: Mohammad Esmaeil
  full_name: Chitsazan, Mohammad Esmaeil
  last_name: Chitsazan
- first_name: Birgit
  full_name: Glasmacher, Birgit
  last_name: Glasmacher
citation:
  ama: 'Chitsazan A, Klepp GH, Chitsazan ME, Glasmacher B. MULTI-OBJECTIVE OPTIMIZATION
    OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE.
    <i>Frontiers in heat and mass transfer : FHMT ; an international journal </i>.
    2022;18. doi:<a href="https://doi.org/10.5098/hmt.18.17">10.5098/hmt.18.17</a>'
  apa: 'Chitsazan, A., Klepp, G. H., Chitsazan, M. E., &#38; Glasmacher, B. (2022).
    MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT
    FORCE ON A MOVING CURVED SURFACE. <i>Frontiers in Heat and Mass Transfer : FHMT ;
    an International Journal </i>, <i>18</i>, Article 17. <a href="https://doi.org/10.5098/hmt.18.17">https://doi.org/10.5098/hmt.18.17</a>'
  bjps: '<b>Chitsazan A <i>et al.</i></b> (2022) MULTI-OBJECTIVE OPTIMIZATION OF DRYING
    ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE. <i>Frontiers
    in heat and mass transfer : FHMT ; an international journal </i> <b>18</b>.'
  chicago: 'Chitsazan, Ali, Georg Heinrich Klepp, Mohammad Esmaeil Chitsazan, and
    Birgit Glasmacher. “MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION
    AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE.” <i>Frontiers in Heat and
    Mass Transfer : FHMT ; an International Journal </i> 18 (2022). <a href="https://doi.org/10.5098/hmt.18.17">https://doi.org/10.5098/hmt.18.17</a>.'
  chicago-de: 'Chitsazan, Ali, Georg Heinrich Klepp, Mohammad Esmaeil Chitsazan und
    Birgit Glasmacher. 2022. MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION
    AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE. <i>Frontiers in heat and
    mass transfer : FHMT ; an international journal </i> 18. doi:<a href="https://doi.org/10.5098/hmt.18.17">10.5098/hmt.18.17</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Chitsazan, Ali</span> ; <span
    style="font-variant:small-caps;">Klepp, Georg Heinrich</span> ; <span style="font-variant:small-caps;">Chitsazan,
    Mohammad Esmaeil</span> ; <span style="font-variant:small-caps;">Glasmacher, Birgit</span>:
    MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT
    FORCE ON A MOVING CURVED SURFACE. In: <i>Frontiers in heat and mass transfer :
    FHMT ; an international journal </i> Bd. 18. Columbia, Mo, Global Digital Centra
    (2022)'
  havard: 'A. Chitsazan, G.H. Klepp, M.E. Chitsazan, B. Glasmacher, MULTI-OBJECTIVE
    OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING
    CURVED SURFACE, Frontiers in Heat and Mass Transfer : FHMT ; an International
    Journal . 18 (2022).'
  ieee: 'A. Chitsazan, G. H. Klepp, M. E. Chitsazan, and B. Glasmacher, “MULTI-OBJECTIVE
    OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING
    CURVED SURFACE,” <i>Frontiers in heat and mass transfer : FHMT ; an international
    journal </i>, vol. 18, Art. no. 17, 2022, doi: <a href="https://doi.org/10.5098/hmt.18.17">10.5098/hmt.18.17</a>.'
  mla: 'Chitsazan, Ali, et al. “MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION
    AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE.” <i>Frontiers in Heat and
    Mass Transfer : FHMT ; an International Journal </i>, vol. 18, 17, 2022, <a href="https://doi.org/10.5098/hmt.18.17">https://doi.org/10.5098/hmt.18.17</a>.'
  short: 'A. Chitsazan, G.H. Klepp, M.E. Chitsazan, B. Glasmacher, Frontiers in Heat
    and Mass Transfer : FHMT ; an International Journal  18 (2022).'
  ufg: '<b>Chitsazan, Ali u. a.</b>: MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY
    CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE, in: <i>Frontiers
    in heat and mass transfer : FHMT ; an international journal </i> 18 (2022).'
  van: 'Chitsazan A, Klepp GH, Chitsazan ME, Glasmacher B. MULTI-OBJECTIVE OPTIMIZATION
    OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE.
    Frontiers in heat and mass transfer : FHMT ; an international journal . 2022;18.'
date_created: 2022-05-08T13:55:00Z
date_updated: 2024-08-08T12:43:11Z
department:
- _id: DEP6017
- _id: DEP6020
doi: 10.5098/hmt.18.17
intvolume: '        18'
keyword:
- Multiple jets
- Heat transfer
- Pressure force
- Energy consumption
- Optimization
language:
- iso: eng
place: Columbia, Mo
publication: 'Frontiers in heat and mass transfer : FHMT ; an international journal '
publication_identifier:
  issn:
  - 2151-8629
publication_status: published
publisher: Global Digital Centra
quality_controlled: '1'
status: public
title: MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT
  FORCE ON A MOVING CURVED SURFACE
type: scientific_journal_article
user_id: '83781'
volume: 18
year: '2022'
...
---
_id: '10193'
abstract:
- lang: eng
  text: Development and optimization of biopharmaceutical production processes with
    cell cultures is cost- and time-consuming and often performed rather empirically.
    Efficient optimization of multiple objectives such as process time, viable cell
    density, number of operating steps & cultivation scales, required medium, amount
    of product as well as product quality depicts a promising approach. This contribution
    presents a workflow which couples uncertainty-based upstream simulation and Bayes
    optimization using Gaussian processes. Its application is demonstrated in a simulation
    case study for a relevant industrial task in process development, the design of
    a robust cell culture expansion process (seed train), meaning that despite uncertainties
    and variabilities concerning cell growth, low variations of viable cell density
    during the seed train are obtained. Compared to a non-optimized reference seed
    train, the optimized process showed much lower deviation rates regarding viable
    cell densities (<10% instead of 41.7%) using five or four shake flask scales and
    seed train duration could be reduced by 56 h from 576 h to 520 h. Overall, it
    is shown that applying Bayes optimization allows for optimization of a multi-objective
    optimization function with several optimizable input variables and under a considerable
    amount of constraints with a low computational effort. This approach provides
    the potential to be used in the form of a decision tool, e.g., for the choice
    of an optimal and robust seed train design or for further optimization tasks within
    process development.
author:
- first_name: Tanja
  full_name: Hernández Rodriguez, Tanja
  id: '52466'
  last_name: Hernández Rodriguez
- first_name: Anton
  full_name: Sekulic, Anton
  last_name: Sekulic
- first_name: Markus
  full_name: Lange-Hegermann, Markus
  id: '71761'
  last_name: Lange-Hegermann
- first_name: Björn
  full_name: Frahm, Björn
  id: '45666'
  last_name: Frahm
citation:
  ama: 'Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust
    biotechnological processes regarding variabilities using multi-objective optimization
    applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, eds.
    <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>.
    Vol special issue. Processes : open access journal. MDPI; 2022:21-48. doi:<a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>'
  apa: 'Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., &#38; Frahm, B.
    (2022). Designing robust biotechnological processes regarding variabilities using
    multi-objective optimization applied to a biopharmaceutical seed train design.
    In R. Pörtner &#38; J. Möller (Eds.), <i>Bioprocess Systems Engineering Applications
    in Pharmaceutical Manufacturing: Vol. special issue</i> (pp. 21–48). MDPI. <a
    href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>'
  bjps: '<b>Hernández Rodriguez T <i>et al.</i></b> (2022) Designing Robust Biotechnological
    Processes Regarding Variabilities Using Multi-Objective Optimization Applied to
    a Biopharmaceutical Seed Train Design. In Pörtner R and Möller J (eds), <i>Bioprocess
    Systems Engineering Applications in Pharmaceutical Manufacturing</i>, vol. special
    issue. Basel: MDPI, pp. 21–48.'
  chicago: 'Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and
    Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities
    Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.”
    In <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>,
    edited by Ralf Pörtner and Johannes Möller, special issue:21–48. Processes : Open
    Access Journal. Basel: MDPI, 2022. <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>.'
  chicago-de: 'Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann und
    Björn Frahm. 2022. Designing robust biotechnological processes regarding variabilities
    using multi-objective optimization applied to a biopharmaceutical seed train design.
    In: <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>,
    hg. von Ralf Pörtner und Johannes Möller, special issue:21–48. Processes : open
    access journal. Basel: MDPI. doi:<a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Hernández Rodriguez, Tanja</span>
    ; <span style="font-variant:small-caps;">Sekulic, Anton</span> ; <span style="font-variant:small-caps;">Lange-Hegermann,
    Markus</span> ; <span style="font-variant:small-caps;">Frahm, Björn</span>: Designing
    robust biotechnological processes regarding variabilities using multi-objective
    optimization applied to a biopharmaceutical seed train design. In: <span style="font-variant:small-caps;">Pörtner,
    R.</span> ; <span style="font-variant:small-caps;">Möller, J.</span> (Hrsg.):
    <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>,
    <i>Processes : open access journal</i>. Bd. special issue. Basel : MDPI, 2022,
    S. 21–48'
  havard: 'T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing
    robust biotechnological processes regarding variabilities using multi-objective
    optimization applied to a biopharmaceutical seed train design, in: R. Pörtner,
    J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical
    Manufacturing, MDPI, Basel, 2022: pp. 21–48.'
  ieee: 'T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, and B. Frahm, “Designing
    robust biotechnological processes regarding variabilities using multi-objective
    optimization applied to a biopharmaceutical seed train design,” in <i>Bioprocess
    Systems Engineering Applications in Pharmaceutical Manufacturing</i>, vol. special
    issue, R. Pörtner and J. Möller, Eds. Basel: MDPI, 2022, pp. 21–48. doi: <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>.'
  mla: Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes
    Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical
    Seed Train Design.” <i>Bioprocess Systems Engineering Applications in Pharmaceutical
    Manufacturing</i>, edited by Ralf Pörtner and Johannes Möller, vol. special issue,
    MDPI, 2022, pp. 21–48, <a href="https://doi.org/10.3390/pr10050883">https://doi.org/10.3390/pr10050883</a>.
  short: 'T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, in: R.
    Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical
    Manufacturing, MDPI, Basel, 2022, pp. 21–48.'
  ufg: '<b>Hernández Rodriguez, Tanja u. a.</b>: Designing robust biotechnological
    processes regarding variabilities using multi-objective optimization applied to
    a biopharmaceutical seed train design, in: <i>Pörtner, Ralf/Möller, Johannes (Hgg.)</i>:
    Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Band
    <i>special issue</i>, Basel 2022 (Processes : open access journal),  S. 21–48.'
  van: 'Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust
    biotechnological processes regarding variabilities using multi-objective optimization
    applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, editors.
    Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Basel:
    MDPI; 2022. p. 21–48. (Processes : open access journal; vol. special issue).'
date_created: 2023-08-08T12:58:36Z
date_updated: 2023-08-16T09:24:16Z
department:
- _id: DEP4000
doi: https://doi.org/10.3390/pr10050883
editor:
- first_name: Ralf
  full_name: Pörtner, Ralf
  last_name: Pörtner
- first_name: Johannes
  full_name: Möller, Johannes
  last_name: Möller
keyword:
- Gaussian processes
- Bayes optimization
- Pareto optimization
- multi-objective
- cell culture
- seed train
language:
- iso: eng
page: 21-48
place: Basel
publication: Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
publication_identifier:
  eisbn:
  - 978-3-0365-5209-5
  eissn:
  - 2227-9717
  isbn:
  - 978-3-0365-5210-1
publication_status: published
publisher: MDPI
quality_controlled: '1'
series_title: 'Processes : open access journal'
status: public
title: Designing robust biotechnological processes regarding variabilities using multi-objective
  optimization applied to a biopharmaceutical seed train design
type: book_chapter
user_id: '83781'
volume: special issue
year: '2022'
...
---
_id: '12801'
abstract:
- lang: eng
  text: The present contribution derives a theoretical framework for constructing
    novel geometrical constraints in the context of density-based topology optimization.
    Principally, the predefined geometrical dimensionality is enforced locally on
    the components of the optimized structures. These constraints are defined using
    the principal values (singular values) from a singular value decomposition of
    points clouds represented by elemental centroids and the corresponding relative
    density design variables. The proposed approach is numerically implemented for
    demonstrating the designing of lattice or membrane-like structures. Several numerical
    examples confirm the validity of the derived theoretical framework for geometric
    dimensionality control.
article_number: '160'
author:
- first_name: Nikolai
  full_name: Gerzen, Nikolai
  id: '76704'
  last_name: Gerzen
- first_name: Thorsten
  full_name: Mertins, Thorsten
  last_name: Mertins
- first_name: Claus B. W.
  full_name: Pedersen, Claus B. W.
  last_name: Pedersen
citation:
  ama: Gerzen N, Mertins T, Pedersen CBW. Geometric dimensionality control of structural
    components in topology optimization. <i>Structural and Multidisciplinary Optimization</i>.
    2022;65(5). doi:<a href="https://doi.org/10.1007/s00158-022-03252-7">10.1007/s00158-022-03252-7</a>
  apa: Gerzen, N., Mertins, T., &#38; Pedersen, C. B. W. (2022). Geometric dimensionality
    control of structural components in topology optimization. <i>Structural and Multidisciplinary
    Optimization</i>, <i>65</i>(5), Article 160. <a href="https://doi.org/10.1007/s00158-022-03252-7">https://doi.org/10.1007/s00158-022-03252-7</a>
  bjps: <b>Gerzen N, Mertins T and Pedersen CBW</b> (2022) Geometric Dimensionality
    Control of Structural Components in Topology Optimization. <i>Structural and Multidisciplinary
    Optimization</i> <b>65</b>.
  chicago: Gerzen, Nikolai, Thorsten Mertins, and Claus B. W. Pedersen. “Geometric
    Dimensionality Control of Structural Components in Topology Optimization.” <i>Structural
    and Multidisciplinary Optimization</i> 65, no. 5 (2022). <a href="https://doi.org/10.1007/s00158-022-03252-7">https://doi.org/10.1007/s00158-022-03252-7</a>.
  chicago-de: Gerzen, Nikolai, Thorsten Mertins und Claus B. W. Pedersen. 2022. Geometric
    dimensionality control of structural components in topology optimization. <i>Structural
    and Multidisciplinary Optimization</i> 65, Nr. 5. doi:<a href="https://doi.org/10.1007/s00158-022-03252-7">10.1007/s00158-022-03252-7</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Gerzen, Nikolai</span> ; <span
    style="font-variant:small-caps;">Mertins, Thorsten</span> ; <span style="font-variant:small-caps;">Pedersen,
    Claus B. W.</span>: Geometric dimensionality control of structural components
    in topology optimization. In: <i>Structural and Multidisciplinary Optimization</i>
    Bd. 65. Berlin, Springer Science and Business Media LLC (2022), Nr. 5'
  havard: N. Gerzen, T. Mertins, C.B.W. Pedersen, Geometric dimensionality control
    of structural components in topology optimization, Structural and Multidisciplinary
    Optimization. 65 (2022).
  ieee: 'N. Gerzen, T. Mertins, and C. B. W. Pedersen, “Geometric dimensionality control
    of structural components in topology optimization,” <i>Structural and Multidisciplinary
    Optimization</i>, vol. 65, no. 5, Art. no. 160, 2022, doi: <a href="https://doi.org/10.1007/s00158-022-03252-7">10.1007/s00158-022-03252-7</a>.'
  mla: Gerzen, Nikolai, et al. “Geometric Dimensionality Control of Structural Components
    in Topology Optimization.” <i>Structural and Multidisciplinary Optimization</i>,
    vol. 65, no. 5, 160, 2022, <a href="https://doi.org/10.1007/s00158-022-03252-7">https://doi.org/10.1007/s00158-022-03252-7</a>.
  short: N. Gerzen, T. Mertins, C.B.W. Pedersen, Structural and Multidisciplinary
    Optimization 65 (2022).
  ufg: '<b>Gerzen, Nikolai/Mertins, Thorsten/Pedersen, Claus B.W.</b>: Geometric dimensionality
    control of structural components in topology optimization, in: <i>Structural and
    Multidisciplinary Optimization</i> 65 (2022), H. 5.'
  van: Gerzen N, Mertins T, Pedersen CBW. Geometric dimensionality control of structural
    components in topology optimization. Structural and Multidisciplinary Optimization.
    2022;65(5).
date_created: 2025-04-16T05:58:58Z
date_updated: 2025-06-26T13:39:04Z
department:
- _id: DEP3020
doi: 10.1007/s00158-022-03252-7
external_id:
  isi:
  - '000796069200001'
intvolume: '        65'
isi: '1'
issue: '5'
keyword:
- Manufacturing constraints
- Topology optimization
- Geometric constraints
- Gradient based structural optimization
- Lattice designing
- Additive manufacturing
language:
- iso: eng
place: Berlin
publication: Structural and Multidisciplinary Optimization
publication_identifier:
  eissn:
  - 1615-147X
  issn:
  - 1615-1488
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Geometric dimensionality control of structural components in topology optimization
type: scientific_journal_article
user_id: '83781'
volume: 65
year: '2022'
...
---
_id: '12814'
abstract:
- lang: eng
  text: Plug-in hybrid electric vehicles (PHEVs) are developed to reduce fuel consumption
    and the emission of carbon dioxide. Common powertrain configurations of PHEVs
    (i.e., the configuration of the combustion engine, electric motor, and transmission)
    can be operated either in series, parallel, or power split hybrid mode, whereas
    powertrain configurations with multimode transmissions enable switching between
    those modes during vehicle operation. Hence, depending on the current operation
    state of the vehicle, the most appropriate mode in terms efficiency can be selected.
    This, however, requires an operating strategy, which controls the mode selection
    as well as the torque distribution between the combustion engine and electric
    motor with the aim of optimal battery depletion and minimal fuel consumption.
    A well-known approach is the equivalent consumption minimization strategy (ECMS).
    It can be applied by using optimizations based on a prediction of the future driving
    behavior. Since the outcome of the ECMS depends on the quality of this prediction,
    it is crucial to know how accurate the predictions must be in order to obtain
    acceptable results. In this contribution, various prediction methods and real-time
    capable ECMS implementations are analyzed and compared in terms of the achievable
    fuel economy. The basis for the analysis is a holistic model of a state-of-the-art
    PHEV powertrain configuration, comprising the multimode transmission, corresponding
    powertrain components, and representative real-world driving data.
article_number: '2905'
author:
- first_name: Stefan
  full_name: Geng, Stefan
  id: '43696'
  last_name: Geng
- first_name: Thomas
  full_name: Schulte, Thomas
  id: '46242'
  last_name: Schulte
- first_name: Jürgen
  full_name: Maas, Jürgen
  id: '1827'
  last_name: Maas
citation:
  ama: Geng S, Schulte T, Maas J. Model-Based Analysis of Different Equivalent Consumption
    Minimization Strategies for a Plug-In Hybrid Electric Vehicle. <i>Applied Sciences</i>.
    2022;12(6). doi:<a href="https://doi.org/10.3390/app12062905">10.3390/app12062905</a>
  apa: Geng, S., Schulte, T., &#38; Maas, J. (2022). Model-Based Analysis of Different
    Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle.
    <i>Applied Sciences</i>, <i>12</i>(6), Article 2905. <a href="https://doi.org/10.3390/app12062905">https://doi.org/10.3390/app12062905</a>
  bjps: <b>Geng S, Schulte T and Maas J</b> (2022) Model-Based Analysis of Different
    Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle.
    <i>Applied Sciences</i> <b>12</b>.
  chicago: Geng, Stefan, Thomas Schulte, and Jürgen Maas. “Model-Based Analysis of
    Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid
    Electric Vehicle.” <i>Applied Sciences</i> 12, no. 6 (2022). <a href="https://doi.org/10.3390/app12062905">https://doi.org/10.3390/app12062905</a>.
  chicago-de: Geng, Stefan, Thomas Schulte und Jürgen Maas. 2022. Model-Based Analysis
    of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid
    Electric Vehicle. <i>Applied Sciences</i> 12, Nr. 6. doi:<a href="https://doi.org/10.3390/app12062905">10.3390/app12062905</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Geng, Stefan</span> ; <span
    style="font-variant:small-caps;">Schulte, Thomas</span> ; <span style="font-variant:small-caps;">Maas,
    Jürgen</span>: Model-Based Analysis of Different Equivalent Consumption Minimization
    Strategies for a Plug-In Hybrid Electric Vehicle. In: <i>Applied Sciences</i>
    Bd. 12. Basel, MDPI AG (2022), Nr. 6'
  havard: S. Geng, T. Schulte, J. Maas, Model-Based Analysis of Different Equivalent
    Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle, Applied
    Sciences. 12 (2022).
  ieee: 'S. Geng, T. Schulte, and J. Maas, “Model-Based Analysis of Different Equivalent
    Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle,” <i>Applied
    Sciences</i>, vol. 12, no. 6, Art. no. 2905, 2022, doi: <a href="https://doi.org/10.3390/app12062905">10.3390/app12062905</a>.'
  mla: Geng, Stefan, et al. “Model-Based Analysis of Different Equivalent Consumption
    Minimization Strategies for a Plug-In Hybrid Electric Vehicle.” <i>Applied Sciences</i>,
    vol. 12, no. 6, 2905, 2022, <a href="https://doi.org/10.3390/app12062905">https://doi.org/10.3390/app12062905</a>.
  short: S. Geng, T. Schulte, J. Maas, Applied Sciences 12 (2022).
  ufg: '<b>Geng, Stefan/Schulte, Thomas/Maas, Jürgen</b>: Model-Based Analysis of
    Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid
    Electric Vehicle, in: <i>Applied Sciences</i> 12 (2022), H. 6.'
  van: Geng S, Schulte T, Maas J. Model-Based Analysis of Different Equivalent Consumption
    Minimization Strategies for a Plug-In Hybrid Electric Vehicle. Applied Sciences.
    2022;12(6).
date_created: 2025-04-17T06:46:05Z
date_updated: 2025-06-26T13:30:48Z
department:
- _id: DEP6020
doi: 10.3390/app12062905
external_id:
  isi:
  - '000776925600001'
intvolume: '        12'
isi: '1'
issue: '6'
keyword:
- PHEV
- ECMS
- multimode transmission
- optimization
- powertrain modeling
language:
- iso: eng
place: Basel
publication: Applied Sciences
publication_identifier:
  eissn:
  - 2076-3417
publication_status: published
publisher: MDPI AG
status: public
title: Model-Based Analysis of Different Equivalent Consumption Minimization Strategies
  for a Plug-In Hybrid Electric Vehicle
type: scientific_journal_article
user_id: '83781'
volume: 12
year: '2022'
...
---
_id: '12800'
abstract:
- lang: eng
  text: his paper presents the cognitive module of the Cognitive Architecture for
    Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The
    goal of this architecture is to reduce the implementation effort of artificial
    intelligence (AI) algorithms in CPPS. Declarative user goals and the provided
    algorithm-knowledge base allow the dynamic pipeline orchestration and configuration.
    A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance
    for further evaluation through the cognitive module. Thus, the cognitive module
    is able to select feasible and robust configurations for process pipelines in
    varying use cases. Furthermore, it automatically adapts the models and algorithms
    based on model quality and resource consumption. The cognitive module also instantiates
    additional pipelines to evaluate algorithms from different classes on test functions.
    CAAI relies on well-defined interfaces to enable the integration of additional
    modules and reduce implementation effort. Finally, an implementation based on
    Docker, Kubernetes, and Kafka for the virtualization and orchestration of the
    individual modules and as messaging technology for module communication is used
    to evaluate a real-world use case.
author:
- first_name: Jan
  full_name: Strohschein, Jan
  last_name: Strohschein
- first_name: Andreas
  full_name: Fischbach, Andreas
  last_name: Fischbach
- first_name: Andreas
  full_name: Bunte, Andreas
  id: '58885'
  last_name: Bunte
- first_name: Heide
  full_name: Faeskorn-Woyke, Heide
  last_name: Faeskorn-Woyke
- first_name: Natalia
  full_name: Moriz, Natalia
  id: '44238'
  last_name: Moriz
- first_name: Thomas
  full_name: Bartz-Beielstein, Thomas
  last_name: Bartz-Beielstein
citation:
  ama: Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein
    T. Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The
    International Journal of Advanced Manufacturing Technology</i>. 2021;115(11-12):3513-3532.
    doi:<a href="https://doi.org/10.1007/s00170-021-07248-3">10.1007/s00170-021-07248-3</a>
  apa: Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., &#38;
    Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical
    production systems. <i>The International Journal of Advanced Manufacturing Technology</i>,
    <i>115</i>(11–12), 3513–3532. <a href="https://doi.org/10.1007/s00170-021-07248-3">https://doi.org/10.1007/s00170-021-07248-3</a>
  bjps: <b>Strohschein J <i>et al.</i></b> (2021) Cognitive Capabilities for the CAAI
    in Cyber-Physical Production Systems. <i>The International Journal of Advanced
    Manufacturing Technology</i> <b>115</b>, 3513–3532.
  chicago: 'Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke,
    Natalia Moriz, and Thomas Bartz-Beielstein. “Cognitive Capabilities for the CAAI
    in Cyber-Physical Production Systems.” <i>The International Journal of Advanced
    Manufacturing Technology</i> 115, no. 11–12 (2021): 3513–32. <a href="https://doi.org/10.1007/s00170-021-07248-3">https://doi.org/10.1007/s00170-021-07248-3</a>.'
  chicago-de: 'Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke,
    Natalia Moriz und Thomas Bartz-Beielstein. 2021. Cognitive capabilities for the
    CAAI in cyber-physical production systems. <i>The International Journal of Advanced
    Manufacturing Technology</i> 115, Nr. 11–12: 3513–3532. doi:<a href="https://doi.org/10.1007/s00170-021-07248-3">10.1007/s00170-021-07248-3</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Strohschein, Jan</span> ; <span
    style="font-variant:small-caps;">Fischbach, Andreas</span> ; <span style="font-variant:small-caps;">Bunte,
    Andreas</span> ; <span style="font-variant:small-caps;">Faeskorn-Woyke, Heide</span>
    ; <span style="font-variant:small-caps;">Moriz, Natalia</span> ; <span style="font-variant:small-caps;">Bartz-Beielstein,
    Thomas</span>: Cognitive capabilities for the CAAI in cyber-physical production
    systems. In: <i>The International Journal of Advanced Manufacturing Technology</i>
    Bd. 115. London [u.a.], Springer  (2021), Nr. 11–12, S. 3513–3532'
  havard: J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T.
    Bartz-Beielstein, Cognitive capabilities for the CAAI in cyber-physical production
    systems, The International Journal of Advanced Manufacturing Technology. 115 (2021)
    3513–3532.
  ieee: 'J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, and
    T. Bartz-Beielstein, “Cognitive capabilities for the CAAI in cyber-physical production
    systems,” <i>The International Journal of Advanced Manufacturing Technology</i>,
    vol. 115, no. 11–12, pp. 3513–3532, 2021, doi: <a href="https://doi.org/10.1007/s00170-021-07248-3">10.1007/s00170-021-07248-3</a>.'
  mla: Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical
    Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>,
    vol. 115, no. 11–12, 2021, pp. 3513–32, <a href="https://doi.org/10.1007/s00170-021-07248-3">https://doi.org/10.1007/s00170-021-07248-3</a>.
  short: J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein,
    The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.
  ufg: '<b>Strohschein, Jan u. a.</b>: Cognitive capabilities for the CAAI in cyber-physical
    production systems, in: <i>The International Journal of Advanced Manufacturing
    Technology</i> 115 (2021), H. 11–12,  S. 3513–3532.'
  van: Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein
    T. Cognitive capabilities for the CAAI in cyber-physical production systems. The
    International Journal of Advanced Manufacturing Technology. 2021;115(11–12):3513–32.
date_created: 2025-04-15T13:05:17Z
date_updated: 2025-06-26T13:39:22Z
department:
- _id: DEP5023
doi: 10.1007/s00170-021-07248-3
external_id:
  isi:
  - '000659025000010'
intvolume: '       115'
isi: '1'
issue: 11-12
keyword:
- Cognition
- Industry 40
- Big data platform
- Machine learning
- CPPS
- Optimization
- Algorithm selection
- Simulation
language:
- iso: eng
page: 3513-3532
place: London [u.a.]
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
  eissn:
  - 1433-3015
  issn:
  - 0268-3768
publication_status: published
publisher: 'Springer '
status: public
title: Cognitive capabilities for the CAAI in cyber-physical production systems
type: scientific_journal_article
user_id: '83781'
volume: 115
year: '2021'
...
---
_id: '4518'
abstract:
- lang: eng
  text: This paper introduces CAAI, a novel cognitive architecture for artificial
    intelligence in cyber-physical production systems. The goal of the architecture
    is to reduce the implementation effort for the usage of artificial intelligence
    algorithms. The core of the CAAI is a cognitive module that processes the user's
    declarative goals, selects suitable models and algorithms, and creates a configuration
    for the execution of a processing pipeline on a big data platform. Constant observation
    and evaluation against performance criteria assess the performance of pipelines
    for many and different use cases. Based on these evaluations, the pipelines are
    automatically adapted if necessary. The modular design with well-defined interfaces
    enables the reusability and extensibility of pipeline components. A big data platform
    implements this modular design supported by technologies such as Docker, Kubernetes,
    and Kafka for virtualization and orchestration of the individual components and
    their communication. The implementation of the architecture is evaluated using
    a real-world use case. The prototypic implementation is accessible on GitHub and
    contains a demonstration.
author:
- first_name: Andreas
  full_name: Fischbach, Andreas
  last_name: Fischbach
- first_name: Jan
  full_name: Strohschein, Jan
  last_name: Strohschein
- first_name: Andreas
  full_name: Bunte, Andreas
  id: '58885'
  last_name: Bunte
- first_name: Jörg
  full_name: Stork, Jörg
  last_name: Stork
- first_name: Heide
  full_name: Faeskorn-Woyke, Heide
  last_name: Faeskorn-Woyke
- first_name: Natalia
  full_name: Moriz, Natalia
  id: '44238'
  last_name: Moriz
- first_name: Thomas
  full_name: Bartz-Beielstein, Thomas
  last_name: Bartz-Beielstein
citation:
  ama: Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture
    to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The
    International Journal of Advanced Manufacturing Technology</i>. 2020;111(1/2):609-626.
    doi:<a href="https://doi.org/10.1007/s00170-020-06094-z">10.1007/s00170-020-06094-z</a>
  apa: Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz,
    N., &#38; Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce
    Artificial Intelligence in Cyber-Physical Production Systems. <i>The International
    Journal of Advanced Manufacturing Technology</i>, <i>111</i>(1/2), 609–626. <a
    href="https://doi.org/10.1007/s00170-020-06094-z">https://doi.org/10.1007/s00170-020-06094-z</a>
  bjps: <b>Fischbach A <i>et al.</i></b> (2020) CAAI -- A Cognitive Architecture to
    Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The
    International Journal of Advanced Manufacturing Technology</i> <b>111</b>, 609–626.
  chicago: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
    Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “CAAI -- A Cognitive
    Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
    Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>
    111, no. 1/2 (2020): 609–26. <a href="https://doi.org/10.1007/s00170-020-06094-z">https://doi.org/10.1007/s00170-020-06094-z</a>.'
  chicago-de: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
    Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2020. CAAI -- A Cognitive
    Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
    Systems. <i>The International Journal of Advanced Manufacturing Technology</i>
    111, Nr. 1/2: 609–626. doi:<a href="https://doi.org/10.1007/s00170-020-06094-z">10.1007/s00170-020-06094-z</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Fischbach, Andreas</span> ;
    <span style="font-variant:small-caps;">Strohschein, Jan</span> ; <span style="font-variant:small-caps;">Bunte,
    Andreas</span> ; <span style="font-variant:small-caps;">Stork, Jörg</span> ; <span
    style="font-variant:small-caps;">Faeskorn-Woyke, Heide</span> ; <span style="font-variant:small-caps;">Moriz,
    Natalia</span> ; <span style="font-variant:small-caps;">Bartz-Beielstein, Thomas</span>:
    CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
    Production Systems. In: <i>The International Journal of Advanced Manufacturing
    Technology</i> Bd. 111, Springer (2020), Nr. 1/2, S. 609–626'
  havard: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N.
    Moriz, T. Bartz-Beielstein, CAAI -- A Cognitive Architecture to Introduce Artificial
    Intelligence in Cyber-Physical Production Systems, The International Journal of
    Advanced Manufacturing Technology. 111 (2020) 609–626.
  ieee: 'A. Fischbach <i>et al.</i>, “CAAI -- A Cognitive Architecture to Introduce
    Artificial Intelligence in Cyber-Physical Production Systems,” <i>The International
    Journal of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, pp. 609–626,
    2020, doi: <a href="https://doi.org/10.1007/s00170-020-06094-z">10.1007/s00170-020-06094-z</a>.'
  mla: Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial
    Intelligence in Cyber-Physical Production Systems.” <i>The International Journal
    of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, 2020, pp. 609–26,
    <a href="https://doi.org/10.1007/s00170-020-06094-z">https://doi.org/10.1007/s00170-020-06094-z</a>.
  short: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz,
    T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology
    111 (2020) 609–626.
  ufg: '<b>Fischbach, Andreas u. a.</b>: CAAI -- A Cognitive Architecture to Introduce
    Artificial Intelligence in Cyber-Physical Production Systems, in: <i>The International
    Journal of Advanced Manufacturing Technology</i> 111 (2020), H. 1/2,  S. 609–626.'
  van: Fischbach A, Strohschein J, Bunte A, Stork J, Faeskorn-Woyke H, Moriz N, et
    al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
    Production Systems. The International Journal of Advanced Manufacturing Technology.
    2020;111(1/2):609–26.
date_created: 2021-01-26T12:24:10Z
date_updated: 2025-06-26T13:38:24Z
department:
- _id: DEP5023
doi: 10.1007/s00170-020-06094-z
external_id:
  isi:
  - '000574389900002'
intvolume: '       111'
isi: '1'
issue: 1/2
keyword:
- CPPS
- Artificial intelligence
- Industry 40
- Reference architecture
- Optimization
- SMBO
- Cognition
- Big data platform
- Modularization
- AutoML
language:
- iso: eng
page: 609-626
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
  eissn:
  - 1433-3015
  issn:
  - 0268-3768
publication_status: published
publisher: Springer
status: public
title: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
  Production Systems
type: journal_article
user_id: '83781'
volume: 111
year: '2020'
...
---
_id: '5435'
abstract:
- lang: eng
  text: Towards renewable energy systems, the coupling of multiple sectors is important
    and incorporates novel technologies where currently no models exist that correctly
    represent all transient effects. Therefore, we present a method that incorporates
    Hardware-in-the-Loop simulations where virtual components as models are coupled
    to real and experimental facilities in real time. By including experimental components,
    a higher validity can be obtained and the practical applicability of renewable
    energy scenario can be discussed more profoundly. In this paper, the considered
    energy system consists of an experimental biocatalytic methanation reactor, a
    real photovoltaic park, a regenerative fuel cell and short-term storage units
    to supply a residential district. A representative control sequence of the methanator
    is obtained by modeling the scenario as an optimal control problem. A first HIL
    simulation highlights that modifications of the instrumentation are required for
    a grid injection of the generated methane. The scientific approach can be applied
    to any energy system where some of the considered components are available as
    experimental or real facilities. Non-exisiting components are simply replaced
    by models. The presented approach helps to determine which parts or process parameters
    are crucial for the planed operation before the overall energy system is realized
    on a larger scale. (C) 2019 Elsevier Ltd. All rights reserved.
author:
- first_name: Martin
  full_name: Griese, Martin
  id: '52308'
  last_name: Griese
- first_name: Marc Philippe
  full_name: Hoffrath, Marc Philippe
  last_name: Hoffrath
- first_name: Timo
  full_name: Broeker, Timo
  id: '43927'
  last_name: Broeker
- first_name: Thomas
  full_name: Schulte, Thomas
  id: '46242'
  last_name: Schulte
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
citation:
  ama: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
    simulation of an optimized energy management incorporating an experimental biocatalytic
    methanation reactor. <i>Energy : the international journal</i>. 2019;181:77-90.
    doi:<a href="https://doi.org/10.1016/j.energy.2019.05.092">10.1016/j.energy.2019.05.092</a>'
  apa: 'Griese, M., Hoffrath, M. P., Broeker, T., Schulte, T., &#38; Schneider, J.
    (2019). Hardware-in-the-Loop simulation of an optimized energy management incorporating
    an experimental biocatalytic methanation reactor. <i>Energy : The International
    Journal</i>, <i>181</i>, 77–90. <a href="https://doi.org/10.1016/j.energy.2019.05.092">https://doi.org/10.1016/j.energy.2019.05.092</a>'
  bjps: '<b>Griese M <i>et al.</i></b> (2019) Hardware-in-the-Loop Simulation of an
    Optimized Energy Management Incorporating an Experimental Biocatalytic Methanation
    Reactor. <i>Energy : the international journal</i> <b>181</b>, 77–90.'
  chicago: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte,
    and Jan Schneider. “Hardware-in-the-Loop Simulation of an Optimized Energy Management
    Incorporating an Experimental Biocatalytic Methanation Reactor.” <i>Energy : The
    International Journal</i> 181 (2019): 77–90. <a href="https://doi.org/10.1016/j.energy.2019.05.092">https://doi.org/10.1016/j.energy.2019.05.092</a>.'
  chicago-de: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte
    und Jan Schneider. 2019. Hardware-in-the-Loop simulation of an optimized energy
    management incorporating an experimental biocatalytic methanation reactor. <i>Energy :
    the international journal</i> 181: 77–90. doi:<a href="https://doi.org/10.1016/j.energy.2019.05.092">10.1016/j.energy.2019.05.092</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Griese, Martin</span> ; <span
    style="font-variant:small-caps;">Hoffrath, Marc Philippe</span> ; <span style="font-variant:small-caps;">Broeker,
    Timo</span> ; <span style="font-variant:small-caps;">Schulte, Thomas</span> ;
    <span style="font-variant:small-caps;">Schneider, Jan</span>: Hardware-in-the-Loop
    simulation of an optimized energy management incorporating an experimental biocatalytic
    methanation reactor. In: <i>Energy : the international journal</i> Bd. 181, Elsevier
    (2019), S. 77–90'
  havard: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Hardware-in-the-Loop
    simulation of an optimized energy management incorporating an experimental biocatalytic
    methanation reactor, Energy : The International Journal. 181 (2019) 77–90.'
  ieee: 'M. Griese, M. P. Hoffrath, T. Broeker, T. Schulte, and J. Schneider, “Hardware-in-the-Loop
    simulation of an optimized energy management incorporating an experimental biocatalytic
    methanation reactor,” <i>Energy : the international journal</i>, vol. 181, pp.
    77–90, 2019, doi: <a href="https://doi.org/10.1016/j.energy.2019.05.092">10.1016/j.energy.2019.05.092</a>.'
  mla: 'Griese, Martin, et al. “Hardware-in-the-Loop Simulation of an Optimized Energy
    Management Incorporating an Experimental Biocatalytic Methanation Reactor.” <i>Energy :
    The International Journal</i>, vol. 181, 2019, pp. 77–90, <a href="https://doi.org/10.1016/j.energy.2019.05.092">https://doi.org/10.1016/j.energy.2019.05.092</a>.'
  short: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Energy :
    The International Journal 181 (2019) 77–90.'
  ufg: '<b>Griese, Martin u. a.</b>: Hardware-in-the-Loop simulation of an optimized
    energy management incorporating an experimental biocatalytic methanation reactor,
    in: <i>Energy : the international journal</i> 181 (2019),  S. 77–90.'
  van: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
    simulation of an optimized energy management incorporating an experimental biocatalytic
    methanation reactor. Energy : the international journal. 2019;181:77–90.'
conference:
  end_date: 2018-06-21
  location: Guimaraes, PORTUGAL
  name: 31st International Conference on Efficiency, Cost, Optimization, Simulation,
    and Environmental Impact of Energy Systems (ECOS)
  start_date: 2018-06-17
date_created: 2021-04-08T07:42:48Z
date_updated: 2025-06-25T07:48:53Z
department:
- _id: DEP4023
- _id: DEP4018
doi: 10.1016/j.energy.2019.05.092
external_id:
  isi:
  - '000476965900009'
intvolume: '       181'
isi: '1'
keyword:
- Biological methanation
- Energy management
- HIL simulation
- Optimization
- Scalable models
language:
- iso: eng
page: 77 - 90
publication: 'Energy : the international journal'
publication_identifier:
  eissn:
  - 1873-6785
  issn:
  - 0360-5442
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: Hardware-in-the-Loop simulation of an optimized energy management incorporating
  an experimental biocatalytic methanation reactor
type: journal_article
user_id: '83781'
volume: 181
year: '2019'
...
---
_id: '577'
abstract:
- lang: eng
  text: A rising number of product variants together with decreasing lot sizes are
    a result of the trend of individualization. Besides the upcoming organizational
    issues, changes in the production technologies are required. Direct digital manufacturing
    contributes to solve this problem by enabling the production of parts right from
    the CAD data.Process capability analysis is applied in several industries to prove
    the reliable compliance of products with quality requirements. As it is based
    on statistical methods, new challenges arise in the context of single-part production.The
    paper describes and compares different approaches for the adoption of process
    capability analysis for single-part production with special focus on additive
    manufacturing technologies. The statistical background and the applicability of
    different capability parameters are discussed. An overview of existing research
    work is given and supplemented by own approaches for the adoption of statistical
    methods for single-part production. The aim of the research work is to establish
    a first approach for the qualification of new technologies in single-part production.
author:
- first_name: Andrea
  full_name: Huxol, Andrea
  id: '43559'
  last_name: Huxol
- first_name: Andrea
  full_name: Davis, Andrea
  id: '68611'
  last_name: Davis
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
- first_name: Eva
  full_name: Scheideler, Eva
  id: '61522'
  last_name: Scheideler
citation:
  ama: 'Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability
    Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of
    Production Engineering and Management, eds. <i>Production Engineering and Management</i>.
    Publication series in direct digital manufacturing . Lemgo; 2017:63-74.'
  apa: Huxol, A., Davis, A., Villmer, F.-J., &#38; Scheideler, E. (2017). Deployment
    of Process Capability Analysis for Single-Part Production. In E. Padoano, F.-J.
    Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production
    Engineering and Management</i> (pp. 63–74). Lemgo.
  bjps: <b>Huxol A <i>et al.</i></b> (2017) Deployment of Process Capability Analysis
    for Single-Part Production. In Padoano E, Villmer F-J and Department of Production
    Engineering and Management (eds), <i>Production Engineering and Management</i>.
    Lemgo, pp. 63–74.
  chicago: Huxol, Andrea, Andrea Davis, Franz-Josef Villmer, and Eva Scheideler. “Deployment
    of Process Capability Analysis for Single-Part Production.” In <i>Production Engineering
    and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department
    of Production Engineering and Management, 63–74. Publication Series in Direct
    Digital Manufacturing . Lemgo, 2017.
  chicago-de: 'Huxol, Andrea, Andrea Davis, Franz-Josef Villmer und Eva Scheideler.
    2017. Deployment of Process Capability Analysis for Single-Part Production. In:
    <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef
    Villmer, und Department of Production Engineering and Management, 63–74. Publication
    series in direct digital manufacturing . Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Huxol, Andrea</span> ; <span
    style="font-variant:small-caps;">Davis, Andrea</span> ; <span style="font-variant:small-caps;">Villmer,
    Franz-Josef</span> ; <span style="font-variant:small-caps;">Scheideler, Eva</span>:
    Deployment of Process Capability Analysis for Single-Part Production. In: <span
    style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Department of Production
    Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>,
    <i>Publication series in direct digital manufacturing </i>. Lemgo, 2017, S. 63–74'
  havard: 'A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, Deployment of Process
    Capability Analysis for Single-Part Production, in: E. Padoano, F.-J. Villmer,
    Department of Production Engineering and Management (Eds.), Production Engineering
    and Management, Lemgo, 2017: pp. 63–74.'
  ieee: A. Huxol, A. Davis, F.-J. Villmer, and E. Scheideler, “Deployment of Process
    Capability Analysis for Single-Part Production,” in <i>Production Engineering
    and Management</i>, Pordenone, Italy, 2017, no. 1, pp. 63–74.
  mla: Huxol, Andrea, et al. “Deployment of Process Capability Analysis for Single-Part
    Production.” <i>Production Engineering and Management</i>, edited by Elio Padoano
    et al., no. 1, 2017, pp. 63–74.
  short: 'A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, in: E. Padoano, F.-J.
    Villmer, Department of Production Engineering and Management (Eds.), Production
    Engineering and Management, Lemgo, 2017, pp. 63–74.'
  ufg: '<b>Huxol, Andrea et. al. (2017)</b>: Deployment of Process Capability Analysis
    for Single-Part Production, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering
    and Management</i> (=<i>Publication series in direct digital manufacturing </i>),
    Lemgo, S. 63–74.'
  van: 'Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability
    Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of
    Production Engineering and Management, editors. Production Engineering and Management.
    Lemgo; 2017. p. 63–74. (Publication series in direct digital manufacturing ).'
conference:
  end_date: 2017-09-29
  location: Pordenone, Italy
  name: Proceedings7th International Conference
  start_date: 2017-09-28
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T11:16:07Z
date_updated: 2023-03-15T13:50:01Z
department:
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
issue: '1'
keyword:
- Statistical process control
- Process capability analysis
- Single-part production
- Process optimization
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
oa: '1'
page: 63-74
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-01-6
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
series_title: 'Publication series in direct digital manufacturing '
status: public
title: Deployment of Process Capability Analysis for Single-Part Production
type: conference
user_id: '45673'
year: 2017
...
---
_id: '579'
abstract:
- lang: eng
  text: Selective Laser Melting (SLM) is a powder bed fusion process to produce additively
    metal parts. From the current point of view, it seems to be one of the most promising
    additive manufacturing technologies for the production of end use parts. An increasing
    number of examples prove the successful application of SLM for technical part
    production. Nevertheless, they also show the enormous effort that is still required
    to qualify the production process of every single part individually.The present
    paper gives an overview of the major influencing factors of the SLM process. To
    get a comprehensive research approach, existing publications on the topic are
    taken into account as well as own experimental work, evaluating the effects of
    the process parameters on the relative density of samples made from tool steel.
    The experimental setup and the results are described and opportunities for the
    further research work are discussed.
author:
- first_name: Andrea
  full_name: Huxol, Andrea
  id: '43559'
  last_name: Huxol
- first_name: Eva
  full_name: Scheideler, Eva
  id: '61522'
  last_name: Scheideler
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
citation:
  ama: 'Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in
    Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production
    Engineering and Management, eds. <i>Production Engineering and Management</i>.
    Lemgo; 2017:13-34.'
  apa: Huxol, A., Scheideler, E., &#38; Villmer, F.-J. (2017). Influencing Factors
    on Part Quality in Selective Laser Melting. In E. Padoano, F.-J. Villmer, &#38;
    Department of Production Engineering and Management (Eds.), <i>Production Engineering
    and Management</i> (pp. 13–34). Lemgo.
  bjps: <b>Huxol A, Scheideler E and Villmer F-J</b> (2017) Influencing Factors on
    Part Quality in Selective Laser Melting. In Padoano E, Villmer F-J and Department
    of Production Engineering and Management (eds), <i>Production Engineering and
    Management</i>. Lemgo, pp. 13–34.
  chicago: Huxol, Andrea, Eva Scheideler, and Franz-Josef Villmer. “Influencing Factors
    on Part Quality in Selective Laser Melting.” In <i>Production Engineering and
    Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of
    Production Engineering and Management, 13–34. Lemgo, 2017.
  chicago-de: 'Huxol, Andrea, Eva Scheideler und Franz-Josef Villmer. 2017. Influencing
    Factors on Part Quality in Selective Laser Melting. In: <i>Production Engineering
    and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department
    of Production Engineering and Management, 13–34. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Huxol, Andrea</span> ; <span
    style="font-variant:small-caps;">Scheideler, Eva</span> ; <span style="font-variant:small-caps;">Villmer,
    Franz-Josef</span>: Influencing Factors on Part Quality in Selective Laser Melting.
    In: <span style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Department of Production
    Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>.
    Lemgo, 2017, S. 13–34'
  havard: 'A. Huxol, E. Scheideler, F.-J. Villmer, Influencing Factors on Part Quality
    in Selective Laser Melting, in: E. Padoano, F.-J. Villmer, Department of Production
    Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
    2017: pp. 13–34.'
  ieee: A. Huxol, E. Scheideler, and F.-J. Villmer, “Influencing Factors on Part Quality
    in Selective Laser Melting,” in <i>Production Engineering and Management</i>,
    Pordenone, Italy, 2017, no. 1, pp. 13–34.
  mla: Huxol, Andrea, et al. “Influencing Factors on Part Quality in Selective Laser
    Melting.” <i>Production Engineering and Management</i>, edited by Elio Padoano
    et al., no. 1, 2017, pp. 13–34.
  short: 'A. Huxol, E. Scheideler, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department
    of Production Engineering and Management (Eds.), Production Engineering and Management,
    Lemgo, 2017, pp. 13–34.'
  ufg: '<b>Huxol, Andrea et. al. (2017)</b>: Influencing Factors on Part Quality in
    Selective Laser Melting, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering
    and Management</i>, Lemgo, S. 13–34.'
  van: 'Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in
    Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production
    Engineering and Management, editors. Production Engineering and Management. Lemgo;
    2017. p. 13–34.'
conference:
  end_date: 2017-09-29
  location: Pordenone, Italy
  name: Proceedings 7th International Conference
  start_date: 2017-09-28
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T11:34:36Z
date_updated: 2023-03-15T13:50:02Z
department:
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
issue: '1'
keyword:
- Selective laser melting
- Additive manufacturing
- Process parameters
- Process optimization
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
oa: '1'
page: 13-34
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-01-6
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
status: public
title: Influencing Factors on Part Quality in Selective Laser Melting
type: conference
user_id: '45673'
year: 2017
...
---
_id: '457'
abstract:
- lang: eng
  text: "Additive Manufacturing (AM) increasingly enables the realization of structures,
    which have a much greater freedom of design und can therefore better  use  nature
    \ as  a  design  ideal.  Bionic  design  principles  have  already been introduced
    \ into  general  design  approaches,  and  several topology optimization systems
    (TO) are available today to increase structural stiffness and  to  enable  lightweight
    \ design.  AM  and  TO,  used  in  synergy,  promise completely  new  application
    areas. However,  staircase effects resulting from a  layer-by-layer  build  process
    \ and  unavoidable  support  structures  which must be mechanically removed afterwards
    are disadvantageous with respect to surface texture and strength properties.\r\nThe
    present article addresses the question  of how far the notches resulting from
    the staircase effect of Additive Manufacturing and the support structures  removed
    \ decrease  the  strength  of  components.  Most  engineers try  to follow the
    inner flow of forces in a part’s design by smoothening surfaces in notched areas.
    Considering  this,  a  elected component  is investigated  with  finite  element
    \ analysis  (FEA)  with  special  regard  for  the concentration  of  tress arising
    from surface notch effects. An outlook is given as regards how a reduction of
    the notch effect from the taircase effect can be achieved effectively."
author:
- first_name: Eva
  full_name: Scheideler, Eva
  id: '61522'
  last_name: Scheideler
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
- first_name: G.
  full_name: Adam, G.
  last_name: Adam
- first_name: Mirco
  full_name: Timmer, Mirco
  id: '69228'
  last_name: Timmer
conference:
  end_date: 2016-09-30
  location: Lemgo
  name: Proceedings 6th International Conference
  start_date: 2016-09-29
corporate_editor:
- Department of Production Engineering and Management  OWL University of Applied Sciences,
  Lemgo (Germany)
- Hochschule Ostwestfalen-Lippe
date_created: 2019-01-22T14:07:32Z
date_updated: 2023-03-15T13:49:54Z
department:
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Additive  Manufacturing
- Topology optimization
- Staircase effect
- Support structures
- Stress concentration
- Lightweight construction
- Design rules
- Notch effect
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.th-owl.de/elsa/download/333/334/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
oa: '1'
page: 39-50
place: Lemgo
publication: Production Engineering and Management Proceedings 6th International Conference
publication_identifier:
  isbn:
  - 978-3-946856-00-9
publication_status: published
status: public
title: Topology Optimization and Additive Manufacturing – A Perfect Symbiosis?
type: conference
user_id: '79260'
year: 2016
...
---
_id: '598'
abstract:
- lang: eng
  text: "The aerospace sector is characterized by long product life cycles and a need
    for lightweight design. Additive manufacturing is a technology that produces parts
    layer by layer and thus enables the manufacturing of any complex parts at nearly
    no extra costs. A topology optimization enhances the part’s\r\nperformance for
    their special purpose. The results are often complex bionic structures that cannot
    be produced with conventional manufacturing technologies. The paper analyzes how
    the high potential of this technologycan be applied to aerospace parts. A topology
    optimization will be conducted for an aircraft part explaining the crucial points
    and a life cycle analysis examines the achieved sustainable improvements for the
    aircraft’s life cycle.\r\n"
author:
- first_name: Andrea
  full_name: Huxol, Andrea
  id: '43559'
  last_name: Huxol
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
citation:
  ama: 'Huxol A, Villmer F-J. Hybrid Manufacturing Machines: Combining Additive and
    Subtractive Manufacturing Technologies. In: Padoano E, Villmer F-J, Department
    of Production Engineering and Management, eds. <i>Production Engineering and Management</i>.
    Lemgo; 2015:207-218.'
  apa: 'Huxol, A., &#38; Villmer, F.-J. (2015). Hybrid Manufacturing Machines: Combining
    Additive and Subtractive Manufacturing Technologies. In E. Padoano, F.-J. Villmer,
    &#38; Department of Production Engineering and Management (Eds.), <i>Production
    Engineering and Management</i> (pp. 207–218). Lemgo.'
  bjps: '<b>Huxol A and Villmer F-J</b> (2015) Hybrid Manufacturing Machines: Combining
    Additive and Subtractive Manufacturing Technologies. In Padoano E, Villmer F-J
    and Department of Production Engineering and Management (eds), <i>Production Engineering
    and Management</i>. Lemgo, pp. 207–218.'
  chicago: 'Huxol, Andrea, and Franz-Josef Villmer. “Hybrid Manufacturing Machines:
    Combining Additive and Subtractive Manufacturing Technologies.” In <i>Production
    Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and
    Department of Production Engineering and Management, 207–18. Lemgo, 2015.'
  chicago-de: 'Huxol, Andrea und Franz-Josef Villmer. 2015. Hybrid Manufacturing Machines:
    Combining Additive and Subtractive Manufacturing Technologies. In: <i>Production
    Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und
    Department of Production Engineering and Management, 207–218. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Huxol, Andrea</span> ; <span
    style="font-variant:small-caps;">Villmer, Franz-Josef</span>: Hybrid Manufacturing
    Machines: Combining Additive and Subtractive Manufacturing Technologies. In: <span
    style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Department of Production
    Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>.
    Lemgo, 2015, S. 207–218'
  havard: 'A. Huxol, F.-J. Villmer, Hybrid Manufacturing Machines: Combining Additive
    and Subtractive Manufacturing Technologies, in: E. Padoano, F.-J. Villmer, Department
    of Production Engineering and Management (Eds.), Production Engineering and Management,
    Lemgo, 2015: pp. 207–218.'
  ieee: 'A. Huxol and F.-J. Villmer, “Hybrid Manufacturing Machines: Combining Additive
    and Subtractive Manufacturing Technologies,” in <i>Production Engineering and
    Management</i>, Trieste, Italy, 2015, no. 1, pp. 207–218.'
  mla: 'Huxol, Andrea, and Franz-Josef Villmer. “Hybrid Manufacturing Machines: Combining
    Additive and Subtractive Manufacturing Technologies.” <i>Production Engineering
    and Management</i>, edited by Elio Padoano et al., no. 1, 2015, pp. 207–18.'
  short: 'A. Huxol, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production
    Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
    2015, pp. 207–218.'
  ufg: '<b>Huxol, Andrea/Villmer, Franz-Josef (2015)</b>: Hybrid Manufacturing Machines:
    Combining Additive and Subtractive Manufacturing Technologies, in: Elio Padoano
    et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 207–218.'
  van: 'Huxol A, Villmer F-J. Hybrid Manufacturing Machines: Combining Additive and
    Subtractive Manufacturing Technologies. In: Padoano E, Villmer F-J, Department
    of Production Engineering and Management, editors. Production Engineering and
    Management. Lemgo; 2015. p. 207–18.'
conference:
  end_date: 2015-10-02
  location: Trieste, Italy
  name: Proceedings5th International Conference
  start_date: 2015-10-01
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-19T07:26:35Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
issue: '1'
keyword:
- Additive manufacturing
- topology optimization
- aerospace
- life cycle costs
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
oa: '1'
page: 207-218
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-941645-11-0
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
status: public
title: 'Hybrid Manufacturing Machines: Combining Additive and Subtractive Manufacturing
  Technologies'
type: conference
user_id: '45673'
year: 2015
...
---
_id: '2394'
abstract:
- lang: eng
  text: For the production of biopharmaceuticals a seed train is required to generate
    an adequate number of cells for inoculation of the production bioreactor. This
    seed train is time- and cost-intensive but offers potential for optimization.
    A method and a protocol are described for the seed train mapping, directed modeling
    without major effort, and its optimization regarding selected optimization criteria
    such as optimal points in time for cell passaging. Furthermore, the method can
    also be applied for the set-up of a new seed train, for example for a new cell
    line. Although the chapter is directed towards suspension cell lines, the method
    is also generally applicable, e.g. for adherent cell lines.
author:
- first_name: Björn
  full_name: Frahm, Björn
  last_name: Frahm
citation:
  ama: 'Frahm B. Seed Train Optimization for Cell Culture. In: <i>Animal Cell Biotechnology</i>.
    Vol 1104. Methods in Molecular Biology . Totowa, NJ: Humana Press; 2013:355-367.
    doi:<a href="https://doi.org/10.1007/978-1-62703-733-4_22">10.1007/978-1-62703-733-4_22</a>'
  apa: 'Frahm, B. (2013). Seed Train Optimization for Cell Culture. In <i>Animal Cell
    Biotechnology</i> (Vol. 1104, pp. 355–367). Totowa, NJ: Humana Press. <a href="https://doi.org/10.1007/978-1-62703-733-4_22">https://doi.org/10.1007/978-1-62703-733-4_22</a>'
  bjps: '<b>Frahm B</b> (2013) Seed Train Optimization for Cell Culture. <i>Animal
    Cell Biotechnology</i>, vol. 1104. Totowa, NJ: Humana Press, pp. 355–367.'
  chicago: 'Frahm, Björn. “Seed Train Optimization for Cell Culture.” In <i>Animal
    Cell Biotechnology</i>, 1104:355–67. Methods in Molecular Biology . Totowa, NJ:
    Humana Press, 2013. <a href="https://doi.org/10.1007/978-1-62703-733-4_22">https://doi.org/10.1007/978-1-62703-733-4_22</a>.'
  chicago-de: 'Frahm, Björn. 2013. Seed Train Optimization for Cell Culture. In: <i>Animal
    Cell Biotechnology</i>, 1104:355–367. Methods in Molecular Biology . Totowa, NJ:
    Humana Press. doi:<a href="https://doi.org/10.1007/978-1-62703-733-4_22,">10.1007/978-1-62703-733-4_22,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Frahm, Björn</span>: Seed Train
    Optimization for Cell Culture. In: <i>Animal Cell Biotechnology</i>, <i>Methods
    in Molecular Biology </i>. Bd. 1104. Totowa, NJ : Humana Press, 2013, S. 355–367'
  havard: 'B. Frahm, Seed Train Optimization for Cell Culture, in: Animal Cell Biotechnology,
    Humana Press, Totowa, NJ, 2013: pp. 355–367.'
  ieee: 'B. Frahm, “Seed Train Optimization for Cell Culture,” in <i>Animal Cell Biotechnology</i>,
    vol. 1104, Totowa, NJ: Humana Press, 2013, pp. 355–367.'
  mla: Frahm, Björn. “Seed Train Optimization for Cell Culture.” <i>Animal Cell Biotechnology</i>,
    vol. 1104, Humana Press, 2013, pp. 355–67, doi:<a href="https://doi.org/10.1007/978-1-62703-733-4_22">10.1007/978-1-62703-733-4_22</a>.
  short: 'B. Frahm, in: Animal Cell Biotechnology, Humana Press, Totowa, NJ, 2013,
    pp. 355–367.'
  ufg: '<b>Frahm, Björn (2013)</b>: Seed Train Optimization for Cell Culture, in:
    <i>Animal Cell Biotechnology</i> (=<i>Methods in Molecular Biology  1104</i>),
    Totowa, NJ, S. 355–367.'
  van: 'Frahm B. Seed Train Optimization for Cell Culture. In: Animal Cell Biotechnology.
    Totowa, NJ: Humana Press; 2013. p. 355–67. (Methods in Molecular Biology ; vol.
    1104).'
date_created: 2020-05-19T14:45:43Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP4021
doi: 10.1007/978-1-62703-733-4_22
intvolume: '      1104'
keyword:
- Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach
  Bioinformatics Computational biotechnology Suspension Production
language:
- iso: eng
page: 355-367
place: Totowa, NJ
publication: Animal Cell Biotechnology
publication_identifier:
  eisbn:
  - '9781627037334'
  isbn:
  - '9781627037327'
  issn:
  - 1064-3745
  - 1940-6029
publication_status: published
publisher: Humana Press
series_title: 'Methods in Molecular Biology '
status: public
title: Seed Train Optimization for Cell Culture
type: book_chapter
user_id: '74004'
volume: 1104
year: 2013
...
---
_id: '10214'
abstract:
- lang: eng
  text: For the production of biopharmaceuticals a seed train is required to generate
    an adequate number of cells for inoculation of the production bioreactor. This
    seed train is time- and cost-intensive but offers potential for optimization.
    A method and a protocol are described for the seed train mapping, directed modeling
    without major effort, and its optimization regarding selected optimization criteria
    such as optimal points in time for cell passaging. Furthermore, the method can
    also be applied for the set-up of a new seed train, for example for a new cell
    line. Although the chapter is directed towards suspension cell lines, the method
    is also generally applicable, e.g. for adherent cell lines.
author:
- first_name: Björn
  full_name: Frahm, Björn
  id: '45666'
  last_name: Frahm
citation:
  ama: 'Frahm B. Seed Train Optimization for Cell Culture. In: Pörtner R, ed. <i>Animal
    Cell Biotechnology - Methods and Protocols</i>. Vol 1104. 3rd ed. Methods in Molecular
    Biology. Humana Press; 2013:355-367. doi:<a href="https://doi.org/10.1007/978-1-62703-733-4_22">10.1007/978-1-62703-733-4_22</a>'
  apa: Frahm, B. (2013). Seed Train Optimization for Cell Culture. In R. Pörtner (Ed.),
    <i>Animal Cell Biotechnology - Methods and Protocols</i> (3rd ed., Vol. 1104,
    pp. 355–367). Humana Press. <a href="https://doi.org/10.1007/978-1-62703-733-4_22">https://doi.org/10.1007/978-1-62703-733-4_22</a>
  bjps: '<b>Frahm B</b> (2013) Seed Train Optimization for Cell Culture. In Pörtner
    R (ed.), <i>Animal Cell Biotechnology - Methods and Protocols</i>, 3rd ed., vol.
    1104. Totowa, NJ: Humana Press, pp. 355–367.'
  chicago: 'Frahm, Björn. “Seed Train Optimization for Cell Culture.” In <i>Animal
    Cell Biotechnology - Methods and Protocols</i>, edited by Ralf Pörtner, 3rd ed.,
    1104:355–67. Methods in Molecular Biology. Totowa, NJ: Humana Press, 2013. <a
    href="https://doi.org/10.1007/978-1-62703-733-4_22">https://doi.org/10.1007/978-1-62703-733-4_22</a>.'
  chicago-de: 'Frahm, Björn. 2013. Seed Train Optimization for Cell Culture. In: <i>Animal
    Cell Biotechnology - Methods and Protocols</i>, hg. von Ralf Pörtner, 1104:355–367.
    3. Aufl. Methods in Molecular Biology. Totowa, NJ: Humana Press. doi:<a href="https://doi.org/10.1007/978-1-62703-733-4_22">10.1007/978-1-62703-733-4_22</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Frahm, Björn</span>: Seed Train
    Optimization for Cell Culture. In: <span style="font-variant:small-caps;">Pörtner,
    R.</span> (Hrsg.): <i>Animal Cell Biotechnology - Methods and Protocols</i>, <i>Methods
    in Molecular Biology</i>. Bd. 1104. 3. Aufl. Totowa, NJ : Humana Press, 2013,
    S. 355–367'
  havard: 'B. Frahm, Seed Train Optimization for Cell Culture, in: R. Pörtner (Ed.),
    Animal Cell Biotechnology - Methods and Protocols, 3rd ed., Humana Press, Totowa,
    NJ, 2013: pp. 355–367.'
  ieee: 'B. Frahm, “Seed Train Optimization for Cell Culture,” in <i>Animal Cell Biotechnology
    - Methods and Protocols</i>, 3rd ed., vol. 1104, R. Pörtner, Ed. Totowa, NJ: Humana
    Press, 2013, pp. 355–367. doi: <a href="https://doi.org/10.1007/978-1-62703-733-4_22">10.1007/978-1-62703-733-4_22</a>.'
  mla: Frahm, Björn. “Seed Train Optimization for Cell Culture.” <i>Animal Cell Biotechnology
    - Methods and Protocols</i>, edited by Ralf Pörtner, 3rd ed., vol. 1104, Humana
    Press, 2013, pp. 355–67, <a href="https://doi.org/10.1007/978-1-62703-733-4_22">https://doi.org/10.1007/978-1-62703-733-4_22</a>.
  short: 'B. Frahm, in: R. Pörtner (Ed.), Animal Cell Biotechnology - Methods and
    Protocols, 3rd ed., Humana Press, Totowa, NJ, 2013, pp. 355–367.'
  ufg: '<b>Frahm, Björn</b>: Seed Train Optimization for Cell Culture, in: <i>Pörtner,
    Ralf (Hg.)</i>: Animal Cell Biotechnology - Methods and Protocols, Bd. 1104, Totowa,
    NJ <sup>3</sup>2013 (Methods in Molecular Biology),  S. 355–367.'
  van: 'Frahm B. Seed Train Optimization for Cell Culture. In: Pörtner R, editor.
    Animal Cell Biotechnology - Methods and Protocols. 3rd ed. Totowa, NJ: Humana
    Press; 2013. p. 355–67. (Methods in Molecular Biology; vol. 1104).'
date_created: 2023-08-14T17:50:56Z
date_updated: 2023-08-16T06:41:21Z
department:
- _id: DEP4000
doi: 10.1007/978-1-62703-733-4_22
edition: '3'
editor:
- first_name: Ralf
  full_name: Pörtner, Ralf
  last_name: Pörtner
intvolume: '      1104'
keyword:
- Seed train
- Optimization
- Modeling
- Prediction
- Space-Time-Yield (STY)
- Systems approach
- Bioinformatics
- Computational biotechnology
- Suspension
- Production
language:
- iso: eng
page: 355–367
place: Totowa, NJ
publication: Animal Cell Biotechnology - Methods and Protocols
publication_identifier:
  eisbn:
  - 978-1-62703-733-4
  eissn:
  - 1940-6029
  isbn:
  - 978-1-62703-732-7
  issn:
  - 1064-3745
publication_status: published
publisher: Humana Press
series_title: Methods in Molecular Biology
status: public
title: Seed Train Optimization for Cell Culture
type: book_chapter
user_id: '83781'
volume: 1104
year: '2013'
...
