Abstract
In Chap. 3, we analyze a multi-item, single-location inventory model, and we assume that the installed base consists of machines of multiple machine types. The machine types have common components and a target aggregate mean waiting time is given per machine type. We assume that emergency shipments are being used when stockouts occur, and the inventory of spare parts is controlled by a basestock policy. The objective is to minimize inventory holding costs and emergency shipment costs subject to multiple aggregate mean waiting time constraints. We describe a greedy heuristic, a Dantzig-Wolfe heuristic, and the corresponding Dantzig-Wolfe lower bound for the optimal costs. We show that both heuristics are efficient and accurate, and we study the effect of commonality on the total costs. Finally, we present a case study at ASML.
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Notes
- 1.
This chapter has been reprinted from Kranenburg and Van Houtum [6] with kind permission from Elsevier.
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This chapter has been reprinted from Kranenburg and Van Houtum [6] with kind permission from Elsevier.
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van Houtum, GJ., Kranenburg, B. (2015). Multiple Machine Types with Commonality. In: Spare Parts Inventory Control under System Availability Constraints. International Series in Operations Research & Management Science, vol 227. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7609-3_3
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DOI: https://doi.org/10.1007/978-1-4899-7609-3_3
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