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Multiple Machine Types with Commonality

  • Geert-Jan van Houtum
  • Bram Kranenburg
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 227)

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Geert-Jan van Houtum
    • 1
  • Bram Kranenburg
    • 2
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Consultants in Quantitative Methods CQM B.V.EindhovenThe Netherlands

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