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The Repair Kit Problem Revisited

Author

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  • Shelby Brumelle

    (University of British Columbia, Vancouver, Canada)

  • Daniel Granot

    (University of British Columbia, Vancouver, Canada)

Abstract

The repair kit problem is concerned with finding an optimal kit of parts and tools to carry for on-site repairs. The choice of a kit involves evaluating two attributes—an annual holding cost and a penalty for failing to complete repairs. We present a unifying approach for the repair kit problem which demonstrates that a monotone sequence of optimal kits exists for several parameterizations of the objective function combining the two attributes. We analyze the structure of the Pareto set of the convex hull of the kits in the attribute space and show the relationship between the extreme points of these Pareto sets and the optimal kits. Decomposition and various monotonicity properties of the repair kit problem yield some computational simplifications in generating optimal kits.

Suggested Citation

  • Shelby Brumelle & Daniel Granot, 1993. "The Repair Kit Problem Revisited," Operations Research, INFORMS, vol. 41(5), pages 994-1006, October.
    • Handle: RePEc:inm:oropre:v:41:y:1993:i:5:p:994-1006
    DOI: 10.1287/opre.41.5.994
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    Citations

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    Cited by:

    1. 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.
    2. Vliegen, I.M.H. & Kleingeld, P.A.M. & van Houtum, G.J., 2010. "Separate tools or tool kits: An exploratory study of engineers' preferences," International Journal of Production Economics, Elsevier, vol. 125(1), pages 173-184, May.
    3. Narendra Agrawal & Stephen A. Smith, 2003. "Optimal retail assortments for substitutable items purchased in sets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(7), pages 793-822, October.
    4. Heeremans, D. & Gelders, L. F., 1995. "Multiple period repair kit problem with a job completion criterion: A case study," European Journal of Operational Research, Elsevier, vol. 81(2), pages 239-248, March.
    5. Rippe, Christoph & Kiesmüller, Gudrun P., 2023. "The repair kit problem with imperfect advance demand information," European Journal of Operational Research, Elsevier, vol. 304(2), pages 558-576.
    6. Stephen A. Smith & Narendra Agrawal, 2000. "Management of Multi-Item Retail Inventory Systems with Demand Substitution," Operations Research, INFORMS, vol. 48(1), pages 50-64, February.
    7. Michael F. Gorman, 2023. "Case Article—Swirltubs After-Market Product Inventory and Service Case," INFORMS Transactions on Education, INFORMS, vol. 23(3), pages 149-151, May.
    8. Renato de Matta & Vernon Ning Hsu & Timothy J. Lowe, 1999. "Capacitated selection problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(1), pages 19-37, February.
    9. 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.
    10. Hill, R.M. & Pakkala, T.P.M., 2007. "Base stock inventory policies for a multi-item demand process," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 137-148, September.
    11. Teunter, Ruud H. & Klein Haneveld, Willem K., 2002. "Inventory control of service parts in the final phase: A central depot and repair kits," European Journal of Operational Research, Elsevier, vol. 138(1), pages 76-86, April.
    12. Jing-Sheng Song, 1998. "On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System," Operations Research, INFORMS, vol. 46(6), pages 831-845, December.
    13. 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.
    14. Vliegen, I.M.H. & van Houtum, G.J., 2009. "Approximate evaluation of order fill rates for an inventory system of service tools," International Journal of Production Economics, Elsevier, vol. 118(1), pages 339-351, March.

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