Multiple Machine Types with Commonality

Geert-Jan Houtum and Bram Kranenburg
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Geert-Jan Houtum: Eindhoven University of Technology
Bram Kranenburg: Consultants in Quantitative Methods CQM B.V.

Chapter Chapter 3 in Spare Parts Inventory Control under System Availability Constraints, 2015, pp 51-70 from Springer

Abstract: 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.

Keywords: Feasible Solution; Master Problem; Spare Part; Demand Rate; Greedy Heuristic (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4899-7609-3_3

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DOI: 10.1007/978-1-4899-7609-3_3

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