Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration

• Published in: 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) pp. 200 - 206
• Main Authors: Lucht, T., Wojcik, A., Nyhuis, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.12.2021
• Subjects: Dynamic scheduling; integrated planning; Job shop scheduling; Loss measurement; Maintenance engineering; Mathematical models; MRO; Pooling; PPC; Robustness; scheduling; spare parts; Uncertainty
• DOI: 10.1109/IEEM50564.2021.9673058

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.