---
_id: '9206'
abstract:
- lang: eng
text: Failure in time (FIT) is an important measure for the reliability of electrical
connectors. Due to the very long lifetime of connectors, the tests for the determination
of FIT rate are time and labour intensive. In this paper a data driven method
using a statistical process to estimate the FIT rate of electrical connectors
with data of electrical contact resistance development in short term tests is
proposed. The results of prediction are then compared with the results from long
term tests. The study shows a strong correlation between contact resistance development
in short term tests and the development of the number of failures in later stages
of tests. In order to predict the development of degradation precisely, the distribution
of resistance data in many different tests with different connectors is investigated.
The Generalized Extreme Value Distribution, which reveals an ideal fitting, has
been implemented for the prediction of the failure rates of connectors, thereby
enabling a remarkable time-lapse of lifetime tests. This method can also be employed
in the prognosis and management of system health through the forecast of health
of connectors in different systems in operation.
article_number: '114684'
author:
- first_name: Jian
full_name: Song, Jian
id: '5297'
last_name: Song
- first_name: Abhay Rammurti
full_name: Shukla, Abhay Rammurti
id: '72757'
last_name: Shukla
- first_name: Roman
full_name: Probst, Roman
id: '69156'
last_name: Probst
citation:
ama: 'Song J, Shukla AR, Probst R. Prediction of failure in time (FIT) of electrical
connectors with short term tests. Microelectronics reliability : an internat
journal & world abstracting service. 2022;138(November 2022). doi:10.1016/j.microrel.2022.114684'
apa: 'Song, J., Shukla, A. R., & Probst, R. (2022). Prediction of failure in
time (FIT) of electrical connectors with short term tests. Microelectronics
Reliability : An Internat. Journal & World Abstracting Service, 138(November
2022), Article 114684. https://doi.org/10.1016/j.microrel.2022.114684'
bjps: 'Song J, Shukla AR and Probst R (2022) Prediction of Failure in Time
(FIT) of Electrical Connectors with Short Term Tests. Microelectronics reliability :
an internat. journal & world abstracting service 138.'
chicago: 'Song, Jian, Abhay Rammurti Shukla, and Roman Probst. “Prediction of Failure
in Time (FIT) of Electrical Connectors with Short Term Tests.” Microelectronics
Reliability : An Internat. Journal & World Abstracting Service 138, no.
November 2022 (2022). https://doi.org/10.1016/j.microrel.2022.114684.'
chicago-de: 'Song, Jian, Abhay Rammurti Shukla und Roman Probst. 2022. Prediction
of failure in time (FIT) of electrical connectors with short term tests. Microelectronics
reliability : an internat. journal & world abstracting service 138, Nr.
November 2022. doi:10.1016/j.microrel.2022.114684,
.'
din1505-2-1: 'Song, Jian ; Shukla,
Abhay Rammurti ; Probst, Roman:
Prediction of failure in time (FIT) of electrical connectors with short term tests.
In: Microelectronics reliability : an internat. journal & world abstracting
service Bd. 138. Amsterdam, Elsevier (2022), Nr. November 2022'
havard: 'J. Song, A.R. Shukla, R. Probst, Prediction of failure in time (FIT) of
electrical connectors with short term tests, Microelectronics Reliability : An
Internat. Journal & World Abstracting Service. 138 (2022).'
ieee: 'J. Song, A. R. Shukla, and R. Probst, “Prediction of failure in time (FIT)
of electrical connectors with short term tests,” Microelectronics reliability :
an internat. journal & world abstracting service, vol. 138, no. November
2022, Art. no. 114684, 2022, doi: 10.1016/j.microrel.2022.114684.'
mla: 'Song, Jian, et al. “Prediction of Failure in Time (FIT) of Electrical Connectors
with Short Term Tests.” Microelectronics Reliability : An Internat. Journal
& World Abstracting Service, vol. 138, no. November 2022, 114684, 2022,
https://doi.org/10.1016/j.microrel.2022.114684.'
short: 'J. Song, A.R. Shukla, R. Probst, Microelectronics Reliability : An Internat.
Journal & World Abstracting Service 138 (2022).'
ufg: 'Song, Jian/Shukla, Abhay Rammurti/Probst, Roman: Prediction of failure
in time (FIT) of electrical connectors with short term tests, in: Microelectronics
reliability : an internat. journal & world abstracting service 138 (2022),
H. November 2022.'
van: 'Song J, Shukla AR, Probst R. Prediction of failure in time (FIT) of electrical
connectors with short term tests. Microelectronics reliability : an internat journal
& world abstracting service. 2022;138(November 2022).'
date_created: 2022-12-11T13:13:46Z
date_updated: 2024-08-05T07:30:51Z
department:
- _id: DEP6012
doi: 10.1016/j.microrel.2022.114684
intvolume: ' 138'
issue: November 2022
keyword:
- Electrical connectors
- Prediction of lifetime
- FIT
- Correlation between data in short and long term tests
- Time-lapse of lifetime tests
language:
- iso: eng
place: Amsterdam
publication: 'Microelectronics reliability : an internat. journal & world abstracting
service'
publication_identifier:
issn:
- 0026-2714
publication_status: published
publisher: Elsevier
status: public
title: Prediction of failure in time (FIT) of electrical connectors with short term
tests
type: scientific_journal_article
user_id: '83781'
volume: 138
year: '2022'
...
---
_id: '6839'
abstract:
- lang: eng
text: 'Pasteurization is a crucial processing method in the food industry to ensure
the safety of consumables. A major part of contemporary pasteurization processes
involves using flash pasteurizer systems, where liquids are pumped through a pipe
system to heat them for a predefined time. Accurately monitoring the amount of
heat treatment applied to a product is challenging. This monitoring helps ensure
that the correct heat impact (expressed in pasteurization units) is applied, which
is commonly calculated as a product of time and temperature, taking achievability
of the inactivation of the microorganisms into account. The state-of-the-art method
involves a calculation of the applied pasteurization units using a one-point temperature
measurement and the holding time for this temperature. Concerns about accuracy
lead to high safety margins, reducing the quality of the pasteurized product.
In this study, the applied pasteurization level was estimated using regression
models trained with NIR spectroscopy data collected while pasteurizing fruit juices
of different types and brands. Several conventional regression models were trained
in combination with different preprocessing methods, including a novel prediction
outlier detection method. Generalized juice models trained with the concatenated
data of all types of juices demonstrated cross-validated scores of RMSECV ∼2.78
± 0.09 and r2 0.96 ± 0.01, while separate juice models displayed
averaged cross-validated scores of RMSECV ∼1.56 ± 0.04 and r2
0.98 ± 0.01. Thus, the model accuracy ±10–30 % is well within the standard safety
margins. '
author:
- first_name: Baris Gün
full_name: Sürmeli, Baris Gün
id: '73806'
last_name: Sürmeli
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
- first_name: Knut
full_name: Schwarzer, Knut
id: '13329'
last_name: Schwarzer
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control
in flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339-351.
doi:10.1177/09670335211057233
apa: Sürmeli, B. G., Weishaupt, I., Schwarzer, K., Moriz, N., & Schneider, J.
(2021). Heat impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy,
29(6), 339–351. https://doi.org/10.1177/09670335211057233
bjps: Sürmeli BG et al. (2021) Heat Impact Control in Flash Pasteurization
by Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.
Journal of Near Infrared Spectroscopy 29, 339–351.
chicago: 'Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz, and
Jan Schneider. “Heat Impact Control in Flash Pasteurization by Estimation of Applied
Pasteurization Units Using near Infrared Spectroscopy.” Journal of Near Infrared
Spectroscopy 29, no. 6 (2021): 339–51. https://doi.org/10.1177/09670335211057233.'
chicago-de: 'Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz und
Jan Schneider. 2021. Heat impact control in flash pasteurization by estimation
of applied pasteurization units using near infrared spectroscopy. Journal of
Near Infrared Spectroscopy 29, Nr. 6: 339–351. doi:10.1177/09670335211057233,
.'
din1505-2-1: 'Sürmeli, Baris Gün ;
Weishaupt, Imke ; Schwarzer,
Knut ; Moriz, Natalia ; Schneider, Jan: Heat impact control in
flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. In: Journal of Near Infrared Spectroscopy Bd. 29,
Sage Publishing (2021), Nr. 6, S. 339–351'
havard: B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Heat impact
control in flash pasteurization by estimation of applied pasteurization units
using near infrared spectroscopy, Journal of Near Infrared Spectroscopy. 29 (2021)
339–351.
ieee: 'B. G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, and J. Schneider, “Heat
impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy,” Journal of Near Infrared Spectroscopy,
vol. 29, no. 6, pp. 339–351, 2021, doi: 10.1177/09670335211057233.'
mla: Sürmeli, Baris Gün, et al. “Heat Impact Control in Flash Pasteurization by
Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.”
Journal of Near Infrared Spectroscopy, vol. 29, no. 6, 2021, pp. 339–51,
https://doi.org/10.1177/09670335211057233.
short: B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Journal
of Near Infrared Spectroscopy 29 (2021) 339–351.
ufg: 'Sürmeli, Baris Gün u. a.: Heat impact control in flash pasteurization
by estimation of applied pasteurization units using near infrared spectroscopy,
in: Journal of Near Infrared Spectroscopy 29 (2021), H. 6, S. 339–351.'
van: Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control
in flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339–51.
date_created: 2021-11-30T12:39:27Z
date_updated: 2025-06-26T13:35:56Z
department:
- _id: DEP5023
- _id: DEP4028
doi: 10.1177/09670335211057233
external_id:
isi:
- '000726007200001'
intvolume: ' 29'
isi: '1'
issue: '6'
keyword:
- Beverage pasteurization
- heat impact control
- prediction outlier elimination
language:
- iso: eng
page: 339-351
publication: Journal of Near Infrared Spectroscopy
publication_identifier:
eissn:
- 1751-6552
issn:
- 0967-0335
publication_status: published
publisher: Sage Publishing
status: public
title: Heat impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy
type: journal_article
user_id: '83781'
volume: 29
year: '2021'
...
---
_id: '12786'
abstract:
- lang: eng
text: 'One goal in Bayesian machine learning is to encode prior knowledge into prior
distributions, to model data efficiently. We consider prior knowledge from systems
of linear partial differential equations together with their boundary conditions.
We construct multi-output Gaussian process priors with realizations in the solution
set of such systems, in particular only such solutions can be represented by Gaussian
process regression. The construction is fully algorithmic via Grobner bases and
it does not employ any approximation. It builds these priors combining two parametrizations
via a pullback: the first parametrizes the solutions for the system of differential
equations and the second parametrizes all functions adhering to the boundary conditions.'
author:
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
citation:
ama: Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary
Conditions. Vol 130. (Banerjee A, Fukumizu K, eds.). MLResearchPress ; 2021.
apa: Lange-Hegermann, M. (2021). Linearly Constrained Gaussian Processes with Boundary
Conditions. In A. Banerjee & K. Fukumizu (Eds.), 24th International Conference
on Artificial Intelligence and Statistics (AISTATS) (Vol. 130). MLResearchPress
.
bjps: Lange-Hegermann M (2021) Linearly Constrained Gaussian Processes
with Boundary Conditions, Banerjee A and Fukumizu K (eds). MLResearchPress
.
chicago: 'Lange-Hegermann, Markus. Linearly Constrained Gaussian Processes with
Boundary Conditions. Edited by A. Banerjee and K. Fukumizu. 24th International
Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 130.
Proceedings of Machine Learning Research : PMLR . MLResearchPress , 2021.'
chicago-de: 'Lange-Hegermann, Markus. 2021. Linearly Constrained Gaussian Processes
with Boundary Conditions. Hg. von A. Banerjee und K. Fukumizu. 24th International
Conference on Artificial Intelligence and Statistics (AISTATS). Bd. 130. Proceedings
of machine learning research : PMLR . MLResearchPress .'
din1505-2-1: 'Lange-Hegermann, Markus
; Banerjee, A. ; Fukumizu,
K. (Hrsg.): Linearly Constrained Gaussian Processes with Boundary Conditions,
Proceedings of machine learning research : PMLR . Bd. 130 : MLResearchPress
, 2021'
havard: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, MLResearchPress , 2021.
ieee: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, vol. 130. MLResearchPress , 2021.
mla: Lange-Hegermann, Markus. “Linearly Constrained Gaussian Processes with Boundary
Conditions.” 24th International Conference on Artificial Intelligence and Statistics
(AISTATS), edited by A. Banerjee and K. Fukumizu, vol. 130, MLResearchPress
, 2021.
short: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, MLResearchPress , 2021.
ufg: 'Lange-Hegermann, Markus: Linearly Constrained Gaussian Processes with
Boundary Conditions, Bd. 130, hg. von Banerjee, A./Fukumizu, K., o. O. 2021 (Proceedings
of machine learning research : PMLR ).'
van: 'Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary Conditions.
Banerjee A, Fukumizu K, editors. 24th International Conference on Artificial Intelligence
and Statistics (AISTATS). MLResearchPress ; 2021. (Proceedings of machine learning
research : PMLR ; vol. 130).'
conference:
end_date: 2021-04-15
location: Virtual
name: 24th International Conference on Artificial Intelligence and Statistics (AISTATS)
start_date: 2021-04-13
date_created: 2025-04-14T13:58:16Z
date_updated: 2025-06-26T13:42:36Z
department:
- _id: DEP5000
- _id: DEP5023
editor:
- first_name: A.
full_name: Banerjee, A.
last_name: Banerjee
- first_name: K.
full_name: Fukumizu, K.
last_name: Fukumizu
intvolume: ' 130'
keyword:
- FUNCTIONAL REGRESSION
- PREDICTION
- ALGORITHMS
- COMPLEXITY
- MODELS
language:
- iso: eng
publication: 24th International Conference on Artificial Intelligence and Statistics
(AISTATS)
publication_identifier:
issn:
- 2640-3498
publication_status: published
publisher: 'MLResearchPress '
quality_controlled: '1'
series_title: 'Proceedings of machine learning research : PMLR '
status: public
title: Linearly Constrained Gaussian Processes with Boundary Conditions
type: conference_editor_article
user_id: '83781'
volume: 130
year: '2021'
...
---
_id: '2183'
abstract:
- lang: eng
text: To connect terminals in a cyber–physical system, large quantities of electrical
contacts are used. In order to guarantee a high reliability of the system, the
lifetime of the electrical contacts should be very long. Thus, it is of great
importance to understand the failure mechanism and then to predict the lifetime
of the electrical contacts. For the applications under high thermal and/or mechanical
loads, noble plating is a good choice, considering its inertness to oxidation.
For noble plating, one of the most critical failure mechanisms is the fretting
wear. Wear debris generated in the contact area, acting as the third bodies, will
greatly influence the further wear behavior and electrical performance. In this
study, the state of the art regarding third bodies is firstly reviewed, and then
the influence of the third bodies on the wear and electrical performance is investigated,
from the aspects of lifetime and the element distributions in contact area. Finally,
an example of prediction of the wear of noble plating is shown with the consideration
of the third bodies. Based on this study, by involving the third bodies, the wear
of noble plating can be predicted with a higher accuracy.
article_number: '77'
author:
- first_name: Haomiao
full_name: Yuan, Haomiao
id: '61860'
last_name: Yuan
- first_name: Jian
full_name: Song, Jian
id: '5297'
last_name: Song
citation:
ama: Yuan H, Song J. An Improved Calculation Model for the Prediction of the Wear
of Coated Electrical Contacts. Technologies. 2019;7(4). doi:10.3390/technologies7040077
apa: Yuan, H., & Song, J. (2019). An Improved Calculation Model for the Prediction
of the Wear of Coated Electrical Contacts. Technologies, 7(4). https://doi.org/10.3390/technologies7040077
bjps: Yuan H and Song J (2019) An Improved Calculation Model for the Prediction
of the Wear of Coated Electrical Contacts. Technologies 7.
chicago: Yuan, Haomiao, and Jian Song. “An Improved Calculation Model for the Prediction
of the Wear of Coated Electrical Contacts.” Technologies 7, no. 4 (2019).
https://doi.org/10.3390/technologies7040077.
chicago-de: Yuan, Haomiao und Jian Song. 2019. An Improved Calculation Model for
the Prediction of the Wear of Coated Electrical Contacts. Technologies
7, Nr. 4. doi:10.3390/technologies7040077,
.
din1505-2-1: 'Yuan, Haomiao ; Song, Jian: An Improved Calculation Model
for the Prediction of the Wear of Coated Electrical Contacts. In: Technologies
Bd. 7 (2019), Nr. 4'
havard: H. Yuan, J. Song, An Improved Calculation Model for the Prediction of the
Wear of Coated Electrical Contacts, Technologies. 7 (2019).
ieee: H. Yuan and J. Song, “An Improved Calculation Model for the Prediction of
the Wear of Coated Electrical Contacts,” Technologies, vol. 7, no. 4, 2019.
mla: Yuan, Haomiao, and Jian Song. “An Improved Calculation Model for the Prediction
of the Wear of Coated Electrical Contacts.” Technologies, vol. 7, no. 4,
77, 2019, doi:10.3390/technologies7040077.
short: H. Yuan, J. Song, Technologies 7 (2019).
ufg: 'Yuan, Haomiao/Song, Jian (2019): An Improved Calculation Model for
the Prediction of the Wear of Coated Electrical Contacts, in: Technologies
7 (4).'
van: Yuan H, Song J. An Improved Calculation Model for the Prediction of the Wear
of Coated Electrical Contacts. Technologies. 2019;7(4).
date_created: 2020-01-08T12:46:14Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP6012
doi: 10.3390/technologies7040077
intvolume: ' 7'
issue: '4'
keyword:
- electrical contacts
- noble plating
- third bodies
- wear prediction
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2227-7080/7/4/77
oa: '1'
publication: Technologies
publication_identifier:
issn:
- 2227-7080
publication_status: published
status: public
title: An Improved Calculation Model for the Prediction of the Wear of Coated Electrical
Contacts
type: journal_article
user_id: '45673'
volume: 7
year: 2019
...
---
_id: '594'
abstract:
- lang: eng
text: Due to steadily increased demand for customized products, as well as their
enhanced complexity and shorter product lifecycles, companies in all industries
require a reliable prediction of the expected product development costs from the
very start of product realization. Incorrectly estimated project costs may lead
to serious consequences in the course of a development project. For example, offers
are most often based on such early cost estimations and consequently, a major
safety margin has to be added, which may result in the refusal of an order. A
too low estimation of the costs of aproduct development project, on the other
hand, may result in a loss for the project.In this paper, a software tool is presented
for the prediction of product development costs which offers the user the ability
to create a more accurate prediction of project costs on the basis of a minimum
of retrograde project information. By combining a parametric cost model and cost
result with stochastic character, based on the Monte Carlo method, in one software
system, it is possible to significantly improve projectcost estimations.
author:
- first_name: Andreas
full_name: Otte, Andreas
id: '51466'
last_name: Otte
- 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: 'Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J,
Padoano E, Department of Production Engineering and Management, eds. Department
of Production Engineering and Management. Lemgo; 2016:281-292.'
apa: Otte, A., Scheideler, E., & Villmer, F.-J. (2016). Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage. In F.-J. Villmer, E. Padoano, & Department of Production Engineering
and Management (Eds.), Department of Production Engineering and Management
(pp. 281–292). Lemgo.
bjps: Otte A, Scheideler E and Villmer F-J (2016) Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage. In Villmer F-J, Padoano E and Department of Production Engineering and
Management (eds), Department of Production Engineering and Management.
Lemgo, pp. 281–292.
chicago: Otte, Andreas, Eva Scheideler, and Franz-Josef Villmer. “Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage.” In Department of Production Engineering and Management, edited
by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering
and Management, 281–92. Lemgo, 2016.
chicago-de: 'Otte, Andreas, Eva Scheideler und Franz-Josef Villmer. 2016. Project
Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at
a Very Early Stage. In: Department of Production Engineering and Management,
hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering
and Management, 281–292. Lemgo.'
din1505-2-1: 'Otte, Andreas ; Scheideler, Eva ; Villmer,
Franz-Josef: Project Cost Estimator - A Parameter-Based Tool to Predict
Product Realization Costs at a Very Early Stage. In: Villmer,
F.-J. ; Padoano, E. ; Department of Production Engineering and Management
(Hrsg.): Department of Production Engineering and Management. Lemgo, 2016,
S. 281–292'
havard: 'A. Otte, E. Scheideler, F.-J. Villmer, Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage, in: F.-J. Villmer,
E. Padoano, Department of Production Engineering and Management (Eds.), Department
of Production Engineering and Management, Lemgo, 2016: pp. 281–292.'
ieee: A. Otte, E. Scheideler, and F.-J. Villmer, “Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage,” in Department
of Production Engineering and Management, Lemgo, 2016, no. 1, pp. 281–292.
mla: Otte, Andreas, et al. “Project Cost Estimator - A Parameter-Based Tool to Predict
Product Realization Costs at a Very Early Stage.” Department of Production
Engineering and Management, edited by Franz-Josef Villmer et al., no. 1, 2016,
pp. 281–92.
short: 'A. Otte, E. Scheideler, F.-J. Villmer, in: F.-J. Villmer, E. Padoano, Department
of Production Engineering and Management (Eds.), Department of Production Engineering
and Management, Lemgo, 2016, pp. 281–292.'
ufg: 'Otte, Andreas et. al. (2016): Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage, in: Franz-Josef
Villmer et. al. (Hgg.): Department of Production Engineering and Management,
Lemgo, S. 281–292.'
van: 'Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J,
Padoano E, Department of Production Engineering and Management, editors. Department
of Production Engineering and Management. Lemgo; 2016. p. 281–92.'
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
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:41:41Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
last_name: Villmer
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
issue: '1'
keyword:
- Cost prediction
- Product realization projects
- Monte Carlo method
- Parametric cost model
- Software tool
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
oa: '1'
page: 281-292
place: Lemgo
publication: Department of Production Engineering and Management
publication_identifier:
isbn:
- 978-3-946856-00-9
publication_status: published
related_material:
link:
- relation: contains
url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
status: public
title: Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization
Costs at a Very Early Stage
type: conference
user_id: '45673'
year: 2016
...
---
_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: Animal Cell Biotechnology.
Vol 1104. Methods in Molecular Biology . Totowa, NJ: Humana Press; 2013:355-367.
doi:10.1007/978-1-62703-733-4_22'
apa: 'Frahm, B. (2013). Seed Train Optimization for Cell Culture. In Animal Cell
Biotechnology (Vol. 1104, pp. 355–367). Totowa, NJ: Humana Press. https://doi.org/10.1007/978-1-62703-733-4_22'
bjps: 'Frahm B (2013) Seed Train Optimization for Cell Culture. Animal
Cell Biotechnology, vol. 1104. Totowa, NJ: Humana Press, pp. 355–367.'
chicago: 'Frahm, Björn. “Seed Train Optimization for Cell Culture.” In Animal
Cell Biotechnology, 1104:355–67. Methods in Molecular Biology . Totowa, NJ:
Humana Press, 2013. https://doi.org/10.1007/978-1-62703-733-4_22.'
chicago-de: 'Frahm, Björn. 2013. Seed Train Optimization for Cell Culture. In: Animal
Cell Biotechnology, 1104:355–367. Methods in Molecular Biology . Totowa, NJ:
Humana Press. doi:10.1007/978-1-62703-733-4_22,
.'
din1505-2-1: 'Frahm, Björn: Seed Train
Optimization for Cell Culture. In: Animal Cell Biotechnology, Methods
in Molecular Biology . 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 Animal Cell Biotechnology,
vol. 1104, Totowa, NJ: Humana Press, 2013, pp. 355–367.'
mla: Frahm, Björn. “Seed Train Optimization for Cell Culture.” Animal Cell Biotechnology,
vol. 1104, Humana Press, 2013, pp. 355–67, doi:10.1007/978-1-62703-733-4_22.
short: 'B. Frahm, in: Animal Cell Biotechnology, Humana Press, Totowa, NJ, 2013,
pp. 355–367.'
ufg: 'Frahm, Björn (2013): Seed Train Optimization for Cell Culture, in:
Animal Cell Biotechnology (=Methods in Molecular Biology 1104),
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. Animal
Cell Biotechnology - Methods and Protocols. Vol 1104. 3rd ed. Methods in Molecular
Biology. Humana Press; 2013:355-367. doi:10.1007/978-1-62703-733-4_22'
apa: Frahm, B. (2013). Seed Train Optimization for Cell Culture. In R. Pörtner (Ed.),
Animal Cell Biotechnology - Methods and Protocols (3rd ed., Vol. 1104,
pp. 355–367). Humana Press. https://doi.org/10.1007/978-1-62703-733-4_22
bjps: 'Frahm B (2013) Seed Train Optimization for Cell Culture. In Pörtner
R (ed.), Animal Cell Biotechnology - Methods and Protocols, 3rd ed., vol.
1104. Totowa, NJ: Humana Press, pp. 355–367.'
chicago: 'Frahm, Björn. “Seed Train Optimization for Cell Culture.” In Animal
Cell Biotechnology - Methods and Protocols, edited by Ralf Pörtner, 3rd ed.,
1104:355–67. Methods in Molecular Biology. Totowa, NJ: Humana Press, 2013. https://doi.org/10.1007/978-1-62703-733-4_22.'
chicago-de: 'Frahm, Björn. 2013. Seed Train Optimization for Cell Culture. In: Animal
Cell Biotechnology - Methods and Protocols, hg. von Ralf Pörtner, 1104:355–367.
3. Aufl. Methods in Molecular Biology. Totowa, NJ: Humana Press. doi:10.1007/978-1-62703-733-4_22,
.'
din1505-2-1: 'Frahm, Björn: Seed Train
Optimization for Cell Culture. In: Pörtner,
R. (Hrsg.): Animal Cell Biotechnology - Methods and Protocols, Methods
in Molecular Biology. 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 Animal Cell Biotechnology
- Methods and Protocols, 3rd ed., vol. 1104, R. Pörtner, Ed. Totowa, NJ: Humana
Press, 2013, pp. 355–367. doi: 10.1007/978-1-62703-733-4_22.'
mla: Frahm, Björn. “Seed Train Optimization for Cell Culture.” Animal Cell Biotechnology
- Methods and Protocols, edited by Ralf Pörtner, 3rd ed., vol. 1104, Humana
Press, 2013, pp. 355–67, https://doi.org/10.1007/978-1-62703-733-4_22.
short: 'B. Frahm, in: R. Pörtner (Ed.), Animal Cell Biotechnology - Methods and
Protocols, 3rd ed., Humana Press, Totowa, NJ, 2013, pp. 355–367.'
ufg: 'Frahm, Björn: Seed Train Optimization for Cell Culture, in: Pörtner,
Ralf (Hg.): Animal Cell Biotechnology - Methods and Protocols, Bd. 1104, Totowa,
NJ 32013 (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'
...