Abstract
Original Equipment Manufacturers (OEM's) of advanced capital goods often offer service contracts for system support to their customers, for which spare parts are needed. Due to technological changes, suppliers of spare parts may stop production at some point in time. As a reaction to that decision, an OEM may place a so-called Last Time Buy (LTB) order to cover demand for spare parts during the remaining service period, which may last for many years. The fact that there might be other alternative sources of supply in the next periods complicates the decision on the LTB. In this paper, we develop a heuristic method to find the near-optimal LTB quantity in presence of an imperfect repair option of the failed parts that can be returned from the field. Comparison of our method to simulation shows high approximation accuracy. Numerical experiments reveal that repair is an excellent option as alternative sourcing, even if it is more expensive than buying a new part, because of the option to postpone the repair until the parts are needed. In addition, we show the impact of other key parameters on costs and LTB quantity.
Original language | English |
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Pages (from-to) | 498-510 |
Number of pages | 13 |
Journal | European Journal of Operational Research |
Volume | 244 |
Issue number | 2 |
DOIs | |
State | Published - 16 Jul 2015 |
Externally published | Yes |
Bibliographical note
Funding Information:This research is part of the project Proactive Service Logistics for advanced capital goods (ProSeLo) and has been sponsored by the Dutch Institute for Advanced Logistics, DINALOG.
Publisher Copyright:
© 2015 Elsevier B.V.
Keywords
- Inventory
- Last time buy
- Repair
- Spare parts
- Stochastic processes
ASJC Scopus subject areas
- Computer Science (all)
- Modeling and Simulation
- Management Science and Operations Research
- Information Systems and Management