---
_id: '13337'
abstract:
- lang: eng
text: In manufacturing systems with a job shop organization, queues between workstations
create an intermittent process flow, allowing workers to schedule tasks entering
the queue based on their needs and preferences. The resulting scheduling autonomy
of individual workers often leads to inefficiencies in the overall production
process due to the loss of control. Companies are therefore increasingly using
algorithmic scheduling systems to assign task sequences to workers, thereby drastically
reducing their autonomy and negatively affecting their job performance and well-being.
This paper extends the existing flexible job shop scheduling problem by sequencing
preferences (FJSPSP) to incorporate a human-centered perspective by predicting
workers’ task sequencing decisions using learning-to-rank (LTR) methods. By learning
workers’ individual task sequencing preferences, it becomes possible to predict
the processing sequence based on task characteristics. The scheduling algorithm
for the FJSPSP presented in the paper incorporates workers’ learned sequencing
preferences as constraints. Considering workers’ learned task sequencing decisions,
the FJSPSP optimizes only task assignments to maintain workers’ autonomy over
task sequences. The contributions of this paper are fourfold, namely, (1) presenting
an approach to elicit sequencing decision datasets from workers, (2) demonstrating
the successful prediction of humans’ and an actual worker’s task sequencing decisions
with LTR, (3) formulating the FJSPSP variant that integrates workers’ sequencing
preferences as constraints and proving its effectiveness in a simulation study,
and (4) consolidating these steps into an explainable artificial intelligence
(XAI)- and LTR-enabled sociotechnical system design framework. The paper closes
with a discussion of the overall methodology and future research perspectives.
article_type: original
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Tharsika Pakeerathan
full_name: Srirajan, Tharsika Pakeerathan
last_name: Srirajan
- first_name: Verena
full_name: Nitsch, Verena
last_name: Nitsch
citation:
ama: 'Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling
autonomy of workers into flexible job shop scheduling: Learning and balancing
decentralized task sequencing decisions with overall scheduling performance. Journal
of Manufacturing Systems. 2026;84(2):541-560. doi:10.1016/j.jmsy.2025.12.020'
apa: 'Herrmann, J.-P., Tackenberg, S., Srirajan, T. P., & Nitsch, V. (2026).
Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance. Journal of Manufacturing Systems, 84(2), 541–560. https://doi.org/10.1016/j.jmsy.2025.12.020'
bjps: 'Herrmann J-P et al. (2026) Incorporating Scheduling Autonomy
of Workers into Flexible Job Shop Scheduling: Learning and Balancing Decentralized
Task Sequencing Decisions with Overall Scheduling Performance. Journal of Manufacturing
Systems 84, 541–560.'
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan,
and Verena Nitsch. “Incorporating Scheduling Autonomy of Workers into Flexible
Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing Decisions
with Overall Scheduling Performance.” Journal of Manufacturing Systems
84, no. 2 (2026): 541–60. https://doi.org/10.1016/j.jmsy.2025.12.020.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan
und Verena Nitsch. 2026. Incorporating scheduling autonomy of workers into flexible
job shop scheduling: Learning and balancing decentralized task sequencing decisions
with overall scheduling performance. Journal of Manufacturing Systems 84,
Nr. 2: 541–560. doi:10.1016/j.jmsy.2025.12.020,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Srirajan,
Tharsika Pakeerathan ; Nitsch, Verena:
Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance. In: Journal of Manufacturing Systems Bd. 84. Amsterdam, Elsevier
BV (2026), Nr. 2, S. 541–560'
havard: 'J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Incorporating
scheduling autonomy of workers into flexible job shop scheduling: Learning and
balancing decentralized task sequencing decisions with overall scheduling performance,
Journal of Manufacturing Systems. 84 (2026) 541–560.'
ieee: 'J.-P. Herrmann, S. Tackenberg, T. P. Srirajan, and V. Nitsch, “Incorporating
scheduling autonomy of workers into flexible job shop scheduling: Learning and
balancing decentralized task sequencing decisions with overall scheduling performance,”
Journal of Manufacturing Systems, vol. 84, no. 2, pp. 541–560, 2026, doi:
10.1016/j.jmsy.2025.12.020.'
mla: 'Herrmann, Jan-Phillip, et al. “Incorporating Scheduling Autonomy of Workers
into Flexible Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing
Decisions with Overall Scheduling Performance.” Journal of Manufacturing Systems,
vol. 84, no. 2, 2026, pp. 541–60, https://doi.org/10.1016/j.jmsy.2025.12.020.'
short: J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Journal of Manufacturing
Systems 84 (2026) 541–560.
ufg: 'Herrmann, Jan-Phillip u. a.: Incorporating scheduling autonomy of workers
into flexible job shop scheduling: Learning and balancing decentralized task sequencing
decisions with overall scheduling performance, in: Journal of Manufacturing
Systems 84 (2026), H. 2, S. 541–560.'
van: 'Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling
autonomy of workers into flexible job shop scheduling: Learning and balancing
decentralized task sequencing decisions with overall scheduling performance. Journal
of Manufacturing Systems. 2026;84(2):541–60.'
date_created: 2026-01-12T08:29:09Z
date_updated: 2026-01-12T08:54:27Z
department:
- _id: DEP7027
doi: 10.1016/j.jmsy.2025.12.020
intvolume: ' 84'
issue: '2'
keyword:
- Human-centered scheduling
- Job autonomy
- Learning-to-rank
- Flexible job shop scheduling
- Human decision-making
- Explainable artificial intelligence
language:
- iso: eng
page: 541-560
place: Amsterdam
publication: Journal of Manufacturing Systems
publication_identifier:
issn:
- 0278-6125
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance'
type: scientific_journal_article
user_id: '83781'
volume: 84
year: '2026'
...
---
_id: '13349'
abstract:
- lang: eng
text: In weakly-structured work processes, workers are free to decide in which sequence
to process their tasks. Predicting their decision-making helps plan production
more accurately while preserving workers’ autonomy. The factors that influence
workers’ decision-making depend on the manufacturing process and person considered,
and they must be newly collected for each use case. This paper identifies the
factors influencing workers when deciding in which sequence to process manufacturing
tasks in a medium-sized hydraulic cylinder manufacturer. Five workers and two
lead workers were observed and interviewed during several work shifts about influencing
factors. The authors propose a new interview technique called indifference testing
to overcome subjects’ difficulty articulating their decision-making process. Collected
factors were categorized using inductive category formation and context analysis.
The analyses identified 75 influencing factors comprising 37 decision attributes
and 38 decision rules. The identified decision attributes indicate that worker
preferences are influenced by attributes from the classical scheduling literature
and attributes related to worker well-being, circadian rhythms, and ergonomics.
The identified decision rules are useful constituents of more complex preference
functions. The decision attributes and rules enable the construction of machine
learning models to predict workers’ task sequencing decisions in job shops. Potential
applications include systematically eliminating or controlling influencing factors
through workplace design measures to increase worker well-being and optimality
of their decisions.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Florens
full_name: Burgert, Florens
last_name: Burgert
- first_name: Verena
full_name: Nitsch, Verena
last_name: Nitsch
citation:
ama: Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker
task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. Procedia
Computer Science. 2025;253:1820-1829. doi:10.1016/j.procs.2025.01.244
apa: Herrmann, J.-P., Tackenberg, S., Burgert, F., & Nitsch, V. (2025). Influencing
factors on worker task sequencing decisions in a medium-sized hydraulic cylinder
manufacturer. Procedia Computer Science, 253, 1820–1829. https://doi.org/10.1016/j.procs.2025.01.244
bjps: Herrmann J-P et al. (2025) Influencing Factors on Worker Task
Sequencing Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer. Procedia
Computer Science 253, 1820–1829.
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert, and Verena Nitsch.
“Influencing Factors on Worker Task Sequencing Decisions in a Medium-Sized Hydraulic
Cylinder Manufacturer.” Procedia Computer Science 253 (2025): 1820–29.
https://doi.org/10.1016/j.procs.2025.01.244.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert und Verena
Nitsch. 2025. Influencing factors on worker task sequencing decisions in a medium-sized
hydraulic cylinder manufacturer. Procedia Computer Science 253: 1820–1829.
doi:10.1016/j.procs.2025.01.244,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Burgert,
Florens ; Nitsch, Verena:
Influencing factors on worker task sequencing decisions in a medium-sized hydraulic
cylinder manufacturer. In: Procedia Computer Science Bd. 253. Amsterdam,
Elsevier BV (2025), S. 1820–1829'
havard: J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Influencing factors
on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer,
Procedia Computer Science. 253 (2025) 1820–1829.
ieee: 'J.-P. Herrmann, S. Tackenberg, F. Burgert, and V. Nitsch, “Influencing factors
on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer,”
Procedia Computer Science, vol. 253, pp. 1820–1829, 2025, doi: 10.1016/j.procs.2025.01.244.'
mla: Herrmann, Jan-Phillip, et al. “Influencing Factors on Worker Task Sequencing
Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer.” Procedia Computer
Science, vol. 253, 2025, pp. 1820–29, https://doi.org/10.1016/j.procs.2025.01.244.
short: J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Procedia Computer Science
253 (2025) 1820–1829.
ufg: 'Herrmann, Jan-Phillip u. a.: Influencing factors on worker task sequencing
decisions in a medium-sized hydraulic cylinder manufacturer, in: Procedia Computer
Science 253 (2025), S. 1820–1829.'
van: Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker
task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. Procedia
Computer Science. 2025;253:1820–9.
date_created: 2026-01-29T10:15:17Z
date_updated: 2026-02-10T10:54:05Z
department:
- _id: DEP7020
doi: 10.1016/j.procs.2025.01.244
intvolume: ' 253'
keyword:
- Task Sequencing
- Manufacturing
- Learning To Rank
- Scheduling Human Factors
- Case Study
language:
- iso: eng
page: 1820-1829
place: Amsterdam
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Influencing factors on worker task sequencing decisions in a medium-sized hydraulic
cylinder manufacturer
type: scientific_journal_article
user_id: '83781'
volume: 253
year: '2025'
...
---
_id: '13350'
abstract:
- lang: ger
text: In einer humanzentrierten Kleinserien- und Einzelfertigung mit Werkstattorganisation
verfügen Fertigungsmitarbeitende häufig über eine hohe Autonomie und Entscheidungsfreiheit.
Das Zusammenspiel individueller Planungsstrategien von Mitarbeitenden innerhalb
eines Fertigungsprozesses kann sich positiv als auch negativ auf das Erreichen
der produktionslogistischen Zielgrößen auswirken. In diesem Beitrag wird eine
Variante des Flexible Job Shop Scheduling Problems vorgestellt, welches das Entscheidungsverhalten
autonomer Arbeitspersonen bezüglich der Bearbeitungsreihenfolgebildung berücksichtigt.
Weiterhin wird die Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen
durch die Analyse individueller Planungsstrategien von Arbeitspersonen mittels
Methoden der erklärbaren künstlichen Intelligenz demonstriert. Betrachtungsgegenstand
der Analyse ist die Entscheidung von Arbeitspersonen, in welcher Reihenfolge sie
ihre täglichen Aufgaben abarbeiten. Der Beitrag schließt mit einer Diskussion
über die Nutzung der vorgestellten Verfahren zur Ableitung von arbeitsorganisatorischen
Gestaltungsempfehlungen.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '75846'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Verena
full_name: Nitsch, Verena
last_name: Nitsch
citation:
ama: Herrmann JP, Tackenberg S, Nitsch V. Analyse Der Entscheidungsfindung von
Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung
Arbeitsorganisatorischer Gestaltungsempfehlungen. (Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin, ed.). GfA-Press; 2025:415-420. doi:10.61063/FK2025
apa: 'Herrmann, J.-P., Tackenberg, S., & Nitsch, V. (2025). Analyse der Entscheidungsfindung
von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung
arbeitsorganisatorischer Gestaltungsempfehlungen. In Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin (Ed.), Arbeit 5.0: Menschzentrierte Innovationen für die
Zukunft der Arbeit (pp. 415–420). GfA-Press. https://doi.org/10.61063/FK2025'
bjps: 'Herrmann J-P, Tackenberg S and Nitsch V (2025) Analyse Der Entscheidungsfindung
von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung
Arbeitsorganisatorischer Gestaltungsempfehlungen, Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin (ed.). Sankt Augustin: GfA-Press.'
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, and Verena Nitsch. Analyse
Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche
Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen.
Edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. Arbeit
5.0: Menschzentrierte Innovationen Für Die Zukunft Der Arbeit. Sankt Augustin:
GfA-Press, 2025. https://doi.org/10.61063/FK2025.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg und Verena Nitsch. 2025. Analyse
der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche
Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen.
Hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. Arbeit 5.0:
Menschzentrierte Innovationen für die Zukunft der Arbeit. Sankt Augustin:
GfA-Press. doi:10.61063/FK2025,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Nitsch,
Verena ; Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin (Hrsg.): Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden
durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer
Gestaltungsempfehlungen. Sankt Augustin : GfA-Press, 2025'
havard: J.-P. Herrmann, S. Tackenberg, V. Nitsch, Analyse der Entscheidungsfindung
von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung
arbeitsorganisatorischer Gestaltungsempfehlungen, GfA-Press, Sankt Augustin, 2025.
ieee: 'J.-P. Herrmann, S. Tackenberg, and V. Nitsch, Analyse der Entscheidungsfindung
von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung
arbeitsorganisatorischer Gestaltungsempfehlungen. Sankt Augustin: GfA-Press,
2025, pp. 415–420. doi: 10.61063/FK2025.'
mla: 'Herrmann, Jan-Phillip, et al. “Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden
Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer
Gestaltungsempfehlungen.” Arbeit 5.0: Menschzentrierte Innovationen Für Die
Zukunft Der Arbeit, edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt
Augustin, GfA-Press, 2025, pp. 415–20, https://doi.org/10.61063/FK2025.'
short: J.-P. Herrmann, S. Tackenberg, V. Nitsch, Analyse Der Entscheidungsfindung
von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung
Arbeitsorganisatorischer Gestaltungsempfehlungen, GfA-Press, Sankt Augustin, 2025.
ufg: 'Herrmann, Jan-Phillip/Tackenberg, Sven/Nitsch, Verena: Analyse der
Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche
Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen, hg.
von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, Sankt Augustin 2025.'
van: 'Herrmann JP, Tackenberg S, Nitsch V. Analyse der Entscheidungsfindung von
Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung
arbeitsorganisatorischer Gestaltungsempfehlungen. Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin, editor. Arbeit 5.0: Menschzentrierte Innovationen für die
Zukunft der Arbeit. Sankt Augustin: GfA-Press; 2025.'
conference:
end_date: 2025-03-27
location: Aachen
name: 71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.
start_date: 2025-03-25
corporate_editor:
- Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin
date_created: 2026-01-29T10:20:46Z
date_updated: 2026-02-10T12:24:29Z
department:
- _id: DEP7020
doi: 10.61063/FK2025
keyword:
- Flexible Job Shop Scheduling
- Learning To Rank
- Erklärbare Künstliche Intelligenz
- Planungsautonomie
- Simulation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm
oa: '1'
page: 415-420
place: Sankt Augustin
publication: 'Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit'
publication_identifier:
eisbn:
- 978-3-936804-36-2
publication_status: published
publisher: GfA-Press
status: public
title: Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare
künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen
type: conference_editor_article
user_id: '83781'
year: '2025'
...
---
_id: '13351'
abstract:
- lang: eng
text: "Sheltered workshops face the challenge of meeting their manufacturing objectives
while considering the individual competencies and assistance needs of persons
with disabilities. Moreover, work processes in sheltered workshops are weakly
structured, allowing for frequent task interruptions and changes based on the
preferences of impaired work persons. While the Industry 4.0 literature provides
many real-time scheduling algorithms for incorporating multiple objectives and
constraints, these algorithms fall short of the characteristics of sheltered workshops.
The resource-constrained project scheduling problem (RCPSP) is an optimization
problem for computing manufacturing plans considering multiple objectives and
resource constraints. Among many different RCPSP variants proposed in the literature,
the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work
persons when generating manufacturing plans. With the ongoing digital transformation
of enterprises, new assistance systems enter the market, providing individual
support to impaired work persons and compensating for lacking skills and abilities.\r\nThis
paper proposes an MSRCPSP variant that incorporates assistance systems and learning
tasks compensating for competence gaps in the skill matrix of impaired work persons.
Furthermore, it decomposes tasks into individual work objects, which accounts
for frequent task interruptions and task preferences of work persons. The algorithm
is described and demonstrated using a manufacturing data set from an actual sheltered
workshop. In a small evaluation study, the algorithm is tested by scheduling two
impaired work persons in the assembly department of a medium-sized manufacturing
company in the primary labor market. The evaluation study proves its real-world
applicability and the suitability of scheduling algorithms for participation and
inclusive work."
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Procedia Computer Science. 2024;232:1329-1338.
doi:10.1016/j.procs.2024.01.131
apa: Herrmann, J.-P., Mordaschew, V., & Tackenberg, S. (2024). A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops. Procedia
Computer Science, 232, 1329–1338. https://doi.org/10.1016/j.procs.2024.01.131
bjps: Herrmann J-P, Mordaschew V and Tackenberg S (2024) A Multi-Skill RCPSP
Variant for Persons with Disabilities in Sheltered Workshops. Procedia Computer
Science 232, 1329–1338.
chicago: 'Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. “A Multi-Skill
RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” Procedia
Computer Science 232 (2024): 1329–38. https://doi.org/10.1016/j.procs.2024.01.131.'
chicago-de: 'Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024.
A multi-skill RCPSP variant for persons with disabilities in sheltered workshops.
Procedia Computer Science 232: 1329–1338. doi:10.1016/j.procs.2024.01.131,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Mordaschew, Viktoria ; Tackenberg,
Sven: A multi-skill RCPSP variant for persons with disabilities in sheltered
workshops. In: Procedia Computer Science Bd. 232. Amsterdam, Elsevier BV
(2024), S. 1329–1338'
havard: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops, Procedia Computer Science.
232 (2024) 1329–1338.
ieee: 'J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, “A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops,” Procedia Computer Science,
vol. 232, pp. 1329–1338, 2024, doi: 10.1016/j.procs.2024.01.131.'
mla: Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with
Disabilities in Sheltered Workshops.” Procedia Computer Science, vol. 232,
2024, pp. 1329–38, https://doi.org/10.1016/j.procs.2024.01.131.
short: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, Procedia Computer Science 232
(2024) 1329–1338.
ufg: 'Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven: A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops, in: Procedia
Computer Science 232 (2024), S. 1329–1338.'
van: Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Procedia Computer Science. 2024;232:1329–38.
date_created: 2026-01-29T10:22:56Z
date_updated: 2026-02-10T10:53:45Z
department:
- _id: DEP7020
doi: 10.1016/j.procs.2024.01.131
intvolume: ' 232'
keyword:
- Scheduling
- Sheltered Workshops
- Assistance System
- Persons with Disabilities
language:
- iso: eng
page: 1329-1338
place: Amsterdam
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
status: public
title: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops
type: scientific_journal_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '12797'
abstract:
- lang: eng
text: 'Sheltered workshops face the challenge of meeting their manufacturing objectives
while considering the individual competenciesand assistance needs of persons with
disabilities. Moreover, work processes in sheltered workshops are weakly structured,
allowing for frequent task interruptions and changes based on the preferences
of impaired work persons. While the Industry 4.0 literature provides many real-time
scheduling algorithms for incorporating multiple objectives and constraints, these
algorithms fall short of the characteristics of sheltered workshops. The resource-constrained
project scheduling problem (RCPSP) is an optimization problem for computing manufacturing
plans considering multiple objectives and resource constraints. Among many different
RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant
considers the individual skills of work persons when generating manufacturing
plans. With the ongoing digital transformation of enterprises, new assistance
systems enter the market, providing individual support to impaired work persons
and compensating for lacking skills and abilities. This paper proposes an MSRCPSP
variant that incorporates assistance systems and learning tasks compensating for
competence gaps in the skill matrix of impaired work persons. Furthermore, it
decomposes tasks into individual work objects, which accounts for frequent task
interruptions and task preferences of work persons. The algorithm is described
and demonstrated using a manufacturing data set from an actual sheltered workshop.
In a small evaluation study, the algorithm is tested by scheduling two impaired
work persons in the assembly department of a medium-sized manufacturing company
in the primary labor market. The evaluation study proves its real-world applicability
and the suitability of scheduling algorithms for participation and inclusive work. '
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Herrmann JP, Mordaschew V, Tackenberg S. A Multi-Skill RCPSP Variant for
Persons with Disabilities in Sheltered Workshops. Vol 232. (Longo F, Shen
W, Padovano A, eds.). Elsevier BV; 2024:1329-1338. doi:10.1016/j.procs.2024.01.131
apa: Herrmann, J.-P., Mordaschew, V., & Tackenberg, S. (2024). A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops. In F. Longo,
W. Shen, & A. Padovano (Eds.), 5th International Conference on Industry
4.0 and Smart Manufacturing (ISM) (Vol. 232, pp. 1329–1338). Elsevier BV.
https://doi.org/10.1016/j.procs.2024.01.131
bjps: 'Herrmann J-P, Mordaschew V and Tackenberg S (2024) A Multi-Skill
RCPSP Variant for Persons with Disabilities in Sheltered Workshops, Longo
F, Shen W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV.'
chicago: 'Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. A
Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.
Edited by F. Longo, W. Shen, and A. Padovano. 5th International Conference
on Industry 4.0 and Smart Manufacturing (ISM). Vol. 232. Procedia Computer
Science. Amsterdam [u.a.]: Elsevier BV, 2024. https://doi.org/10.1016/j.procs.2024.01.131.'
chicago-de: 'Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024.
A multi-skill RCPSP variant for persons with disabilities in sheltered workshops.
Hg. von F. Longo, W. Shen, und A. Padovano. 5th International Conference on
Industry 4.0 and Smart Manufacturing (ISM). Bd. 232. Procedia Computer Science.
Amsterdam [u.a.]: Elsevier BV. doi:10.1016/j.procs.2024.01.131,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Mordaschew, Viktoria ; Tackenberg,
Sven ; Longo, F. ; Shen, W. ; Padovano,
A. (Hrsg.): A multi-skill RCPSP variant for persons with disabilities
in sheltered workshops, Procedia Computer Science. Bd. 232. Amsterdam
[u.a.] : Elsevier BV, 2024'
havard: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops, Elsevier BV, Amsterdam [u.a.],
2024.
ieee: 'J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, A multi-skill RCPSP
variant for persons with disabilities in sheltered workshops, vol. 232. Amsterdam
[u.a.]: Elsevier BV, 2024, pp. 1329–1338. doi: 10.1016/j.procs.2024.01.131.'
mla: Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with
Disabilities in Sheltered Workshops.” 5th International Conference on Industry
4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier
BV, 2024, pp. 1329–38, https://doi.org/10.1016/j.procs.2024.01.131.
short: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A Multi-Skill RCPSP Variant
for Persons with Disabilities in Sheltered Workshops, Elsevier BV, Amsterdam [u.a.],
2024.
ufg: 'Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven: A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops, Bd. 232, hg.
von Longo, F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer
Science).'
van: 'Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Longo F, Shen W, Padovano A, editors.
5th International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam
[u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).'
conference:
end_date: 2023-11-24
location: Lisbon, PORTUGAL
name: 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)
start_date: 2023-11-22
date_created: 2025-04-15T12:33:51Z
date_updated: 2025-06-25T12:45:54Z
doi: 10.1016/j.procs.2024.01.131
editor:
- first_name: F.
full_name: Longo, F.
last_name: Longo
- first_name: W.
full_name: Shen, W.
last_name: Shen
- first_name: A.
full_name: Padovano, A.
last_name: Padovano
intvolume: ' 232'
keyword:
- Scheduling
- Sheltered Workshops
- Assistance System
- Persons with Disabilities
language:
- iso: eng
page: 1329-1338
place: Amsterdam [u.a.]
publication: 5th International Conference on Industry 4.0 and Smart Manufacturing
(ISM)
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
series_title: Procedia Computer Science
status: public
title: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops
type: conference_editor_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '10015'
abstract:
- lang: ger
text: Die operative Fertigungsplanung für die Produktions¬bereiche von Werkstätten
für behinderte Menschen steht vor der Herausforderung, die Kompetenzen und die
individuellen Verhaltensweisen der Personen mit Unterstützungsbedarf bei einer
gleichzeitigen Erfüllung der wirtschaftlichen Vorgaben angemessen zu berücksichtigen.
Der vorliegende Beitrag beschreibt daher einen simulationsgestützten Ansatz zur
Entwicklung von Fertigungsplänen. Hierzu erfolgt eine Allokation von Aufgaben
zu Personen mit Unterstützungsbedarf unter Berücksichtigung der Funktionen von
Assistenzsystemen in der Fertigung sowie einer zu erreichenden Lernwirksamkeit
einer Aufgabenbearbeitung. Der realisierte Algorithmus wird anhand eines Planungsproblems
für die Zielgrößen Wirtschaftlichkeit und Lernförderlichkeit verifiziert.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '75846'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Sönke
full_name: Duckwitz, Sönke
last_name: Duckwitz
citation:
ama: Herrmann JP, Tackenberg S, Duckwitz S. Konzept für die operative Fertigungsplanung
unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in
Werkstätten für behinderte Menschen. Vol 40. GfA-Press; 2023.
apa: Herrmann, J.-P., Tackenberg, S., & Duckwitz, S. (2023). Konzept für die
operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen
mit Unterstützungsbedarf in Werkstätten für behinderte Menschen. In Nachhaltig
Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger
Arbeitssysteme und Arbeits und Lernprozesse (Vol. 40). GfA-Press.
bjps: Herrmann J-P, Tackenberg S and Duckwitz S (2023) Konzept für die
operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen
mit Unterstützungsbedarf in Werkstätten für behinderte Menschen. GfA-Press.
chicago: Herrmann, Jan-Phillip, Sven Tackenberg, and Sönke Duckwitz. Konzept
für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von
Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen.
Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und
nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse. Vol. 40. GfA-Press.
GfA-Press, 2023.
chicago-de: Herrmann, Jan-Phillip, Sven Tackenberg und Sönke Duckwitz. 2023. Konzept
für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von
Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen.
Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und
nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse. Bd. 40. GfA-Press.
GfA-Press.
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Duckwitz,
Sönke: Konzept für die operative Fertigungsplanung unter Berücksichtigung
der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte
Menschen, GfA-Press. Bd. 40 : GfA-Press, 2023'
havard: J.-P. Herrmann, S. Tackenberg, S. Duckwitz, Konzept für die operative Fertigungsplanung
unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in
Werkstätten für behinderte Menschen, GfA-Press, 2023.
ieee: J.-P. Herrmann, S. Tackenberg, and S. Duckwitz, Konzept für die operative
Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf
in Werkstätten für behinderte Menschen, vol. 40. GfA-Press, 2023.
mla: Herrmann, Jan-Phillip, et al. “Konzept für die operative Fertigungsplanung
unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in
Werkstätten für behinderte Menschen.” Nachhaltig Arbeiten und Lernen - Analyse
und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und
Lernprozesse, vol. 40, GfA-Press, 2023.
short: J.-P. Herrmann, S. Tackenberg, S. Duckwitz, Konzept für die operative Fertigungsplanung
unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in
Werkstätten für behinderte Menschen, GfA-Press, 2023.
ufg: 'Herrmann, Jan-Phillip/Tackenberg, Sven/Duckwitz, Sönke: Konzept für
die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen
mit Unterstützungsbedarf in Werkstätten für behinderte Menschen, Bd. 40, o. O.
2023 (GfA-Press).'
van: Herrmann JP, Tackenberg S, Duckwitz S. Konzept für die operative Fertigungsplanung
unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in
Werkstätten für behinderte Menschen. Nachhaltig Arbeiten und Lernen - Analyse
und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und
Lernprozesse. GfA-Press; 2023. (GfA-Press; vol. 40).
conference:
end_date: 2023-03-03
location: Hannover
name: 69. Arbeitswissenschaftlichen Kongresses
start_date: 2023-03-01
date_created: 2023-06-26T11:30:06Z
date_updated: 2023-06-29T12:25:51Z
intvolume: ' 40'
keyword:
- Werkstätten für behinderte Menschen
- Resource- constrained Project Scheduling Problem
- Aufgabenauswahl
- Simulation
language:
- iso: ger
popular_science: '1'
publication: Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher
und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse
publication_identifier:
isbn:
- 978-3-936804-32-4
publication_status: published
publisher: GfA-Press
series_title: GfA-Press
status: public
title: Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen
von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen
type: conference_editor_article
user_id: '15514'
volume: 40
year: '2023'
...
---
_id: '9356'
abstract:
- lang: eng
text: In today’s manufacturing industry, enterprise-resource-planning (ERP) systems
reach their limit when planning and scheduling production subject to multiple
objectives and constraints. Advanced planning and scheduling (APS) systems provide
these capabilities and are an extension for ERP systems. However, when integrating
an APS and ERP system, the ERP data frequently lacks quality, hindering the APS
system from working as required. This paper introduces a data quality (DQ) assessment
framework that employs a Bayesian Network (BN) to perform quick DQ assessments
based on expert interviews and DQ measurements with actual ERP data. We explain
the BN’s functionality, design, and validation and show how using the perceived
DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions
over time. We discuss applying our framework in an APS system implementation project
involving an APS system provider and a medium-sized manufacturer of hydraulic
cylinders. Despite considering the DQ assessment framework in such a specific
context, it is not restricted to a particular domain. We close by discussing the
framework’s limits, particularly the BN as a DQ assessment methodology and future
works to improve its performance.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '75846'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
- first_name: Jörg
full_name: Hartlief, Jörg
last_name: Hartlief
- first_name: Jens
full_name: ' Rautenstengel, Jens'
last_name: ' Rautenstengel'
- first_name: Christine
full_name: Loeser, Christine
last_name: Loeser
- first_name: 'Jörg '
full_name: 'Böhme, Jörg '
last_name: Böhme
citation:
ama: Herrmann JP, Tackenberg S, Padoano E, et al. An ERP Data Quality Assessment
Framework for the Implementation of an APS system using Bayesian Networks. Procedia
Computer Science. 2022;200:194-204. doi:https://doi.org/10.1016/j.procs.2022.01.218
apa: Herrmann, J.-P., Tackenberg, S., Padoano, E., Hartlief, J., Rautenstengel,
J., Loeser, C., & Böhme, J. (2022). An ERP Data Quality Assessment Framework
for the Implementation of an APS system using Bayesian Networks. Procedia Computer
Science, 200, 194–204. https://doi.org/10.1016/j.procs.2022.01.218
bjps: Herrmann J-P et al. (2022) An ERP Data Quality Assessment Framework
for the Implementation of an APS System Using Bayesian Networks. Procedia Computer
Science 200, 194–204.
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens Rautenstengel,
Christine Loeser, and Jörg Böhme. “An ERP Data Quality Assessment Framework for
the Implementation of an APS System Using Bayesian Networks.” Procedia Computer
Science 200 (2022): 194–204. https://doi.org/10.1016/j.procs.2022.01.218.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief,
Jens Rautenstengel, Christine Loeser und Jörg Böhme. 2022. An ERP Data Quality
Assessment Framework for the Implementation of an APS system using Bayesian Networks.
Procedia Computer Science 200: 194–204. doi:https://doi.org/10.1016/j.procs.2022.01.218,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Padoano,
Elio ; Hartlief, Jörg ; Rautenstengel, Jens ; Loeser,
Christine ; Böhme, Jörg :
An ERP Data Quality Assessment Framework for the Implementation of an APS system
using Bayesian Networks. In: Procedia Computer Science Bd. 200, Elsevier
(2022), S. 194–204'
havard: J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J. Rautenstengel,
C. Loeser, J. Böhme, An ERP Data Quality Assessment Framework for the Implementation
of an APS system using Bayesian Networks, Procedia Computer Science. 200 (2022)
194–204.
ieee: 'J.-P. Herrmann et al., “An ERP Data Quality Assessment Framework for
the Implementation of an APS system using Bayesian Networks,” Procedia Computer
Science, vol. 200, pp. 194–204, 2022, doi: https://doi.org/10.1016/j.procs.2022.01.218.'
mla: Herrmann, Jan-Phillip, et al. “An ERP Data Quality Assessment Framework for
the Implementation of an APS System Using Bayesian Networks.” Procedia Computer
Science, vol. 200, 2022, pp. 194–204, https://doi.org/10.1016/j.procs.2022.01.218.
short: J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J. Rautenstengel,
C. Loeser, J. Böhme, Procedia Computer Science 200 (2022) 194–204.
ufg: 'Herrmann, Jan-Phillip u. a.: An ERP Data Quality Assessment Framework
for the Implementation of an APS system using Bayesian Networks, in: Procedia
Computer Science 200 (2022), S. 194–204.'
van: Herrmann JP, Tackenberg S, Padoano E, Hartlief J, Rautenstengel J, Loeser
C, et al. An ERP Data Quality Assessment Framework for the Implementation of an
APS system using Bayesian Networks. Procedia Computer Science. 2022;200:194–204.
date_created: 2023-01-25T12:00:32Z
date_updated: 2024-08-06T11:45:41Z
department:
- _id: DEP7020
doi: https://doi.org/10.1016/j.procs.2022.01.218
intvolume: ' 200'
keyword:
- Data Quality Assessment
- Advanced Planning
- Scheduling
- Bayesian Network
- Enterprise Resource Planning
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S1877050922002277
oa: '1'
page: 194-204
publication: Procedia Computer Science
publication_identifier:
issn:
- '1877-0509 '
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: An ERP Data Quality Assessment Framework for the Implementation of an APS system
using Bayesian Networks
type: journal_article
user_id: '83781'
volume: 200
year: '2022'
...
---
_id: '12834'
abstract:
- lang: eng
text: In the context of Industry 4.0, extensive deployment and application of advanced
manufacturing equipment and various sensors is leading to a growing demand for
data exchange between different devices. In smart factories, network transmission
has multiprotocol features of wired/wireless communication, and different data
flows have different real-time requirements. In this article, a heterogeneous
network architecture based on software-defined network is proposed for realizing
cross-network flexible forwarding of multisource manufacturing data and optimized
utilization of network resources. Subsequently, the mechanism of cross-network
fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic
characteristics and different delay requirements of data flows. Based on this
analysis, a route-aware data flow dynamic reconstruction algorithm is proposed.
The proposed algorithm improves the efficiency of manufacturing data cross-network
fusion, especially for multivariety and small-batch intelligent manufacturing
systems. Furthermore, for meeting the bandwidth requirements of different delay
flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally,
the effectiveness of the proposed CNFS mechanism is verified using a candy packaging
intelligent production line prototype platform.
author:
- first_name: Jiafu
full_name: Wan, Jiafu
last_name: Wan
- first_name: Jun
full_name: Yang, Jun
last_name: Yang
- first_name: Shiyong
full_name: Wang, Shiyong
last_name: Wang
- first_name: Di
full_name: Li, Di
last_name: Li
- first_name: Peng
full_name: Li, Peng
id: '58937'
last_name: Li
- first_name: Min
full_name: Xia, Min
last_name: Xia
citation:
ama: Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling
for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial
Informatics. 2019;16(9):6059-6068. doi:10.1109/tii.2019.2952669
apa: Wan, J., Yang, J., Wang, S., Li, D., Li, P., & Xia, M. (2019). Cross-Network
Fusion and Scheduling for Heterogeneous Networks in Smart Factory. IEEE Transactions
on Industrial Informatics, 16(9), 6059–6068. https://doi.org/10.1109/tii.2019.2952669
bjps: Wan J et al. (2019) Cross-Network Fusion and Scheduling for
Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics
16, 6059–6068.
chicago: 'Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li, and Min Xia. “Cross-Network
Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” IEEE Transactions
on Industrial Informatics 16, no. 9 (2019): 6059–68. https://doi.org/10.1109/tii.2019.2952669.'
chicago-de: 'Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li und Min Xia. 2019.
Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.
IEEE Transactions on Industrial Informatics 16, Nr. 9: 6059–6068. doi:10.1109/tii.2019.2952669,
.'
din1505-2-1: 'Wan, Jiafu ; Yang,
Jun ; Wang, Shiyong ; Li, Di ; Li,
Peng ; Xia, Min: Cross-Network
Fusion and Scheduling for Heterogeneous Networks in Smart Factory. In: IEEE
Transactions on Industrial Informatics Bd. 16. New York, NY, Institute of
Electrical and Electronics Engineers (IEEE) (2019), Nr. 9, S. 6059–6068'
havard: J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, Cross-Network Fusion and
Scheduling for Heterogeneous Networks in Smart Factory, IEEE Transactions on Industrial
Informatics. 16 (2019) 6059–6068.
ieee: 'J. Wan, J. Yang, S. Wang, D. Li, P. Li, and M. Xia, “Cross-Network Fusion
and Scheduling for Heterogeneous Networks in Smart Factory,” IEEE Transactions
on Industrial Informatics, vol. 16, no. 9, pp. 6059–6068, 2019, doi: 10.1109/tii.2019.2952669.'
mla: Wan, Jiafu, et al. “Cross-Network Fusion and Scheduling for Heterogeneous Networks
in Smart Factory.” IEEE Transactions on Industrial Informatics, vol. 16,
no. 9, 2019, pp. 6059–68, https://doi.org/10.1109/tii.2019.2952669.
short: J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, IEEE Transactions on Industrial
Informatics 16 (2019) 6059–6068.
ufg: 'Wan, Jiafu u. a.: Cross-Network Fusion and Scheduling for Heterogeneous
Networks in Smart Factory, in: IEEE Transactions on Industrial Informatics
16 (2019), H. 9, S. 6059–6068.'
van: Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling
for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics.
2019;16(9):6059–68.
date_created: 2025-04-23T08:35:16Z
date_updated: 2025-06-26T13:26:20Z
department:
- _id: DEP5023
doi: 10.1109/tii.2019.2952669
external_id:
isi:
- '000542966300043'
intvolume: ' 16'
isi: '1'
issue: '9'
keyword:
- Heterogeneous networks
- Real-time systems
- Bandwidth
- Job shop scheduling
- Smart manufacturing
- Computer architecture
- Cross-network fusion
- heterogeneous networks
- network resource
language:
- iso: eng
page: 6059-6068
place: New York, NY
publication: IEEE Transactions on Industrial Informatics
publication_identifier:
eissn:
- 1941-0050
issn:
- 1551-3203
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory
type: scientific_journal_article
user_id: '83781'
volume: 16
year: '2019'
...