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Service differentiation in spare parts inventory management

Author

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  • A A Kranenburg

    (Centre for Quantitative Methods CQM B.V.)

  • G J van Houtum

    (Technische Universiteit Eindhoven)

Abstract

The contemporary after-sales market is of increasing importance. One of the features required by the market is to provide differentiated service levels to different groups of customers. We use critical levels as a means to offer differentiation. Critical level policies aim to exploit the differences in target service levels by inventory rationing. In our multi-item single-location spare parts inventory model, we aim to minimize the spare parts provisioning cost, that is inventory holding and transportation cost, under the condition that aggregate mean waiting time constraints for all customer groups are met. In a computational experiment and a case study with data from a company in the semiconductor supplier industry, we show that significant cost reductions can be obtained when critical level policies are used instead of base stock policies (ie policies without critical levels).

Suggested Citation

  • A A Kranenburg & G J van Houtum, 2008. "Service differentiation in spare parts inventory management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 946-955, July.
  • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:7:d:10.1057_palgrave.jors.2602414
    DOI: 10.1057/palgrave.jors.2602414
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    References listed on IDEAS

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    1. Vinayak Deshpande & Morris A. Cohen & Karen Donohue, 2003. "A Threshold Inventory Rationing Policy for Service-Differentiated Demand Classes," Management Science, INFORMS, vol. 49(6), pages 683-703, June.
    2. Morris A. Cohen & Paul R. Kleindorfer & Hau L. Lee, 1989. "Near-Optimal Service Constrained Stocking Policies for Spare Parts," Operations Research, INFORMS, vol. 37(1), pages 104-117, February.
    3. George B. Dantzig & Philip Wolfe, 1960. "Decomposition Principle for Linear Programs," Operations Research, INFORMS, vol. 8(1), pages 101-111, February.
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    Cited by:

    1. Christiane B. Haubitz & Ulrich W. Thonemann, 2021. "How to Change a Running System—Controlling the Transition to Optimized Spare Parts Inventory Policies," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1386-1405, May.
    2. van Jaarsveld, Willem & Dollevoet, Twan & Dekker, Rommert, 2015. "Improving spare parts inventory control at a repair shop," Omega, Elsevier, vol. 57(PB), pages 217-229.
    3. Alvarez, E.M. & van der Heijden, M.C. & Vliegen, I.M.H. & Zijm, W.H.M., 2014. "Service differentiation through selective lateral transshipments," European Journal of Operational Research, Elsevier, vol. 237(3), pages 824-835.
    4. Loe Schlicher & Marco Slikker & Willem van Jaarsveld & Geert-Jan van Houtum, 2020. "Core Nonemptiness of Stratified Pooling Games: A Structured Markov Decision Process Approach," Mathematics of Operations Research, INFORMS, vol. 45(4), pages 1445-1465, November.
    5. Elisa Alvarez & Matthieu Heijden & W. Zijm, 2015. "Service differentiation in spare parts supply through dedicated stocks," Annals of Operations Research, Springer, vol. 231(1), pages 283-303, August.
    6. Arts, Joachim, 2017. "A multi-item approach to repairable stocking and expediting in a fluctuating demand environment," European Journal of Operational Research, Elsevier, vol. 256(1), pages 102-115.
    7. Christopher A. Boone & Benjamin T. Hazen & Joseph B. Skipper & Robert E. Overstreet, 2018. "A framework for investigating optimization of service parts performance with big data," Annals of Operations Research, Springer, vol. 270(1), pages 65-74, November.
    8. Li, Gang & Huang, Feng Feng & Cheng, T.C.E. & Zheng, Quan & Ji, Ping, 2014. "Make-or-buy service capacity decision in a supply chain providing after-sales service," European Journal of Operational Research, Elsevier, vol. 239(2), pages 377-388.
    9. Alvarez, E.M. & van der Heijden, M.C. & Zijm, W.H.M., 2013. "The selective use of emergency shipments for service-contract differentiation," International Journal of Production Economics, Elsevier, vol. 143(2), pages 518-526.
    10. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    11. van den Berg, D. & van der Heijden, M.C. & Schuur, P.C., 2016. "Allocating service parts in two-echelon networks at a utility company," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 58-67.
    12. Pourakbar, Morteza & Dekker, Rommert, 2012. "Customer differentiated end-of-life inventory problem," European Journal of Operational Research, Elsevier, vol. 222(1), pages 44-53.
    13. Gerrits, B. & Topan, E. & van der Heijden, M.C., 2022. "Operational planning in service control towers – heuristics and case study," European Journal of Operational Research, Elsevier, vol. 302(3), pages 983-998.
    14. Basten, Rob J.I. & Ryan, Jennifer K., 2019. "The value of maintenance delay flexibility for improved spare parts inventory management," European Journal of Operational Research, Elsevier, vol. 278(2), pages 646-657.

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