Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013 |
| Publikationsstatus | Veröffentlicht - 2013 |
| Veranstaltung | 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013 - Cagliari, Italien Dauer: 10 Sept. 2013 → 13 Sept. 2013 |
Publikationsreihe
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| ISSN (Print) | 1946-0740 |
| ISSN (elektronisch) | 1946-0759 |
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 is not easily and exactly known when the case of re-planning occurs. The planning procedure has to contribute to that fact, as well as to further uncertainties concerning the effects of a plan when evaluating the plan. Thus in this work, we apply online simulation as means for re-planning multi-site production in the case of resource failure. This work is a first step where two alternatives are considered when a resource fails: either wait for repair of the resource, or transport another instance of this resource from another site, if there is more than one available. Our study shows that the planning using online simulation is superior to a static strategy such as 'always wait for repair' or 'always import resource' in case of resource failure.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Informatik (insg.)
- Angewandte Informatik
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- BibTex
- RIS
Proceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013. 2013. 6648131 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Online simulation based decision support system for resource failure management in multi-site production environments
AU - Bohlmann, Sebastian
AU - Becker, Matthias
AU - Balci, Sinan
AU - Szczerbicka, Helena
AU - Hund, Eric
PY - 2013
Y1 - 2013
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 is not easily and exactly known when the case of re-planning occurs. The planning procedure has to contribute to that fact, as well as to further uncertainties concerning the effects of a plan when evaluating the plan. Thus in this work, we apply online simulation as means for re-planning multi-site production in the case of resource failure. This work is a first step where two alternatives are considered when a resource fails: either wait for repair of the resource, or transport another instance of this resource from another site, if there is more than one available. Our study shows that the planning using online simulation is superior to a static strategy such as 'always wait for repair' or 'always import resource' in case of resource failure.
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 is not easily and exactly known when the case of re-planning occurs. The planning procedure has to contribute to that fact, as well as to further uncertainties concerning the effects of a plan when evaluating the plan. Thus in this work, we apply online simulation as means for re-planning multi-site production in the case of resource failure. This work is a first step where two alternatives are considered when a resource fails: either wait for repair of the resource, or transport another instance of this resource from another site, if there is more than one available. Our study shows that the planning using online simulation is superior to a static strategy such as 'always wait for repair' or 'always import resource' in case of resource failure.
UR - http://www.scopus.com/inward/record.url?scp=84890664241&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2013.6648131
DO - 10.1109/ETFA.2013.6648131
M3 - Conference contribution
AN - SCOPUS:84890664241
SN - 9781479908622
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - Proceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013
T2 - 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013
Y2 - 10 September 2013 through 13 September 2013
ER -