Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings |
| Untertitel | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
| Herausgeber/-innen | Imed Kacem, Pierre Laroche, Zsuzsanna Roka |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 526-530 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781479967735 |
| Publikationsstatus | Veröffentlicht - 23 Dez. 2014 |
| Veranstaltung | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 - Metz, Frankreich Dauer: 3 Nov. 2014 → 5 Nov. 2014 |
Publikationsreihe
| Name | Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
|---|
Abstract
Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to be formalized on the decision making facility, where the possible alternatives will then be determined and evaluated. In this work, we will present the necessary components for an automated evaluation of alternatives and decision support procedure. The main challenges are the formalization of product plans including alternative steps and the non-automated collection or assessment of the distributed system state of all sites.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
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Proceedings: 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014. Hrsg. / Imed Kacem; Pierre Laroche; Zsuzsanna Roka. Institute of Electrical and Electronics Engineers Inc., 2014. S. 526-530 6996949 (Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Predictive simulation based decision support system for resource failure management in multi-site production environments
AU - Becker, Matthias
AU - Balci, Sinan
AU - Szczerbicka, Helena
N1 - Publisher Copyright: © 2014 IEEE.
PY - 2014/12/23
Y1 - 2014/12/23
N2 - Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to be formalized on the decision making facility, where the possible alternatives will then be determined and evaluated. In this work, we will present the necessary components for an automated evaluation of alternatives and decision support procedure. The main challenges are the formalization of product plans including alternative steps and the non-automated collection or assessment of the distributed system state of all sites.
AB - Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to be formalized on the decision making facility, where the possible alternatives will then be determined and evaluated. In this work, we will present the necessary components for an automated evaluation of alternatives and decision support procedure. The main challenges are the formalization of product plans including alternative steps and the non-automated collection or assessment of the distributed system state of all sites.
KW - Decision support
KW - Multi-site construction
KW - Predictive simulation
UR - http://www.scopus.com/inward/record.url?scp=84921376795&partnerID=8YFLogxK
U2 - 10.1109/CoDIT.2014.6996949
DO - 10.1109/CoDIT.2014.6996949
M3 - Conference contribution
AN - SCOPUS:84921376795
T3 - Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
SP - 526
EP - 530
BT - Proceedings
A2 - Kacem, Imed
A2 - Laroche, Pierre
A2 - Roka, Zsuzsanna
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
Y2 - 3 November 2014 through 5 November 2014
ER -