Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 61-66 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 3 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 12 Aug. 2012 |
| Veranstaltung | 45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Griechenland Dauer: 16 Mai 2012 → 18 Mai 2012 |
Abstract
Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 3, Nr. 1, 12.08.2012, S. 61-66.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Operational Planning of Maintenance Measures by Means of Event-driven Simulation
AU - Denkena, B.
AU - Kröninga, S.
AU - Doreth, K.
N1 - Funding information: The research work will be continued within the frame of the project “Model-based coordination of the operational maintenance and production planning and control” (project “MK-ProInst”, DE 447/81-1). The authors would like to thank the German Research Foundation for its financial and organizational support.
PY - 2012/8/12
Y1 - 2012/8/12
N2 - Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.
AB - Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.
KW - Manufacturing systems modeling
KW - Operational maintenance planning
KW - Production planning
UR - http://www.scopus.com/inward/record.url?scp=84879191382&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2012.07.012
DO - 10.1016/j.procir.2012.07.012
M3 - Conference article
AN - SCOPUS:84879191382
VL - 3
SP - 61
EP - 66
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
IS - 1
T2 - 45th CIRP Conference on Manufacturing Systems, CMS 2012
Y2 - 16 May 2012 through 18 May 2012
ER -