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Note---On "Optimizing Field Repair Kits Based on Job Completion Rate"

Author

Listed:
  • Salvatore T. March

    (School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Gary D. Scudder

    (School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

Abstract

In a recent paper, Mamer and Smith (Mamer, J. W., S. A. Smith. 1982. Optimizing field repair kits based on job completion rate. Management Sci. 28 (11) 1328--1333.) presented a formulation for determining the optimal kit of parts and tools for on-site equipment repairs under a job completion criterion. The optimal kit minimizes the sum of expected broken job costs plus the annual inventory holding cost for those parts stocked. A broken job occurs whenever a repair cannot be completed because one or more of its required parts are not included in the field repair kit. Assuming equal penalties for all broken jobs, an algorithm developed by Eisner and Severance (Eisner, M. J., D. G. Severance. 1976. Mathematical techniques for efficient record segmentation in large shared databases. J. Assoc. Comput. Mach. 23 (4) 619--635.) in a different context can be used to determine a set of optimal policies and a range on the penalty cost for which each policy is optimal. The ranges cover all penalty costs from 0 to \infty . This is significant for the repair kit problem since the actual penalty cost of broken jobs may be difficult to determine exactly.

Suggested Citation

  • Salvatore T. March & Gary D. Scudder, 1984. "Note---On "Optimizing Field Repair Kits Based on Job Completion Rate"," Management Science, INFORMS, vol. 30(8), pages 1025-1028, August.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:8:p:1025-1028
    DOI: 10.1287/mnsc.30.8.1025
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    Cited by:

    1. Prak, Dennis & Saccani, Nicola & Syntetos, Aris & Teunter, Ruud & Visintin, Filippo, 2017. "The Repair Kit Problem with positive replenishment lead times and fixed ordering costs," European Journal of Operational Research, Elsevier, vol. 261(3), pages 893-902.
    2. Christoph Rippe & Gudrun P. Kiesmüller, 2023. "The added value of advance demand information for the planning of a repair kit," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 311-335, March.
    3. Michael F. Gorman & Sanjay Ahire, 2006. "A Major Appliance Manufacturer Rethinks Its Inventory Policies for Service Vehicles," Interfaces, INFORMS, vol. 36(5), pages 407-419, October.
    4. Rachel Q. Zhang, 1999. "Expected time delay in multi‐item inventory systems with correlated demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(6), pages 671-688, September.
    5. Liu, Ke & Li, Jing-An & Lai, Kin Keung, 2004. "Single period, single product newsvendor model with random supply shock," European Journal of Operational Research, Elsevier, vol. 158(3), pages 609-625, November.
    6. K Liu & J-A Li & Y Wu & K K Lai, 2005. "Analysis of monitoring and limiting of commercial cheating: a newsvendor model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 844-854, July.

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