Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
| Editors | Imed Kacem, Pierre Laroche, Zsuzsanna Roka |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 526-530 |
| Number of pages | 5 |
| ISBN (electronic) | 9781479967735 |
| Publication status | Published - 23 Dec 2014 |
| Event | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 - Metz, France Duration: 3 Nov 2014 → 5 Nov 2014 |
Publication series
| 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.
Keywords
- Decision support, Multi-site construction, Predictive simulation
ASJC Scopus subject areas
- Decision Sciences(all)
- Information Systems and Management
- Engineering(all)
- Control and Systems Engineering
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Proceedings: 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014. ed. / Imed Kacem; Pierre Laroche; Zsuzsanna Roka. Institute of Electrical and Electronics Engineers Inc., 2014. p. 526-530 6996949 (Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -