Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
| Seiten | 200-206 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 978-1-6654-3771-4 |
| Publikationsstatus | Veröffentlicht - 2021 |
Abstract
ASJC Scopus Sachgebiete
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
- Informatik (insg.)
- Artificial intelligence
- Informatik (insg.)
- Angewandte Informatik
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Mathematik (insg.)
- Steuerung und Optimierung
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2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2021. S. 200-206.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
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TY - GEN
T1 - Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration
AU - Lucht, Torben
AU - Wojcik, Anja
AU - Nyhuis, Peter
N1 - Funding Information: Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) "SFB 87113" - 119193472.
PY - 2021
Y1 - 2021
N2 - The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.
AB - The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.
KW - Integrated planning
KW - MRO
KW - PPC
KW - Pooling
KW - Robustness
KW - Scheduling
KW - Spare parts
UR - http://www.scopus.com/inward/record.url?scp=85125384433&partnerID=8YFLogxK
U2 - 10.1109/IEEM50564.2021.9673058
DO - 10.1109/IEEM50564.2021.9673058
M3 - Conference contribution
SN - 978-1-6654-3772-1
SP - 200
EP - 206
BT - 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
ER -