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Setting expediting repair policy in a multi-echelon repairable-item inventory system with limited repair capacity

Author

Listed:
  • Y Perlman

    (Ben-Gurion University of the Negev)

  • A Mehrez

    (Ben-Gurion University of the Negev)

  • M Kaspi

    (Ben-Gurion University of the Negev)

Abstract

Inventory systems with limited repair capacity are affected by congestion externalities, caused by use of a shared service. There is incompatibility between individual and system optimisation in considering congestion externalities. Three models are described that investigate the congestion effect in a multi-echelon inventory system which has two modes of repair, each with a limited repair capacity. An expanding repair policy employed by the bases in order to choose which repair mode to use is described and compared with different expediting policies related to congestion externalities. The expanding repair policy that considers congestion externalities was found to lead to better system performance measurement than an expanding policy with no congestion. The results of the numerical experiment indicate that the model that ignores congestion externalities—that is, the model that measures each base as an individual—leads to poorer performance measurement for every expediting repair policy, and particularly for the optimal expediting repair policy.

Suggested Citation

  • Y Perlman & A Mehrez & M Kaspi, 2001. "Setting expediting repair policy in a multi-echelon repairable-item inventory system with limited repair capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 198-209, February.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:2:d:10.1057_palgrave.jors.2601079
    DOI: 10.1057/palgrave.jors.2601079
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    Citations

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    Cited by:

    1. Haque, Lani & Armstrong, Michael J., 2007. "A survey of the machine interference problem," European Journal of Operational Research, Elsevier, vol. 179(2), pages 469-482, June.
    2. Nasuh Buyukkaramikli & Henny Ooijen & J. Bertrand, 2015. "Integrating inventory control and capacity management at a maintenance service provider," Annals of Operations Research, Springer, vol. 231(1), pages 185-206, August.
    3. Y Perlman & M Kaspi, 2007. "Centralized decision of internal transfer-prices with congestion externalities for two modes of repair with limited repair capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1178-1184, September.
    4. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    5. Levner, Eugene & Perlman, Yael & Cheng, T.C.E. & Levner, Ilya, 2011. "A network approach to modeling the multi-echelon spare-part inventory system with backorders and interval-valued demand," International Journal of Production Economics, Elsevier, vol. 132(1), pages 43-51, July.
    6. Sleptchenko, A. & van der Heijden, M. C. & van Harten, A., 2002. "Effects of finite repair capacity in multi-echelon, multi-indenture service part supply systems," International Journal of Production Economics, Elsevier, vol. 79(3), pages 209-230, October.
    7. A Sleptchenko & M C van der Heijden & A van Harten, 2003. "Trade-off between inventory and repair capacity in spare part networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 263-272, March.
    8. van der Heijden, M.C. & Alvarez, E.M. & Schutten, J.M.J., 2013. "Inventory reduction in spare part networks by selective throughput time reduction," International Journal of Production Economics, Elsevier, vol. 143(2), pages 509-517.
    9. Rezapour, Shabnam & Allen, Janet K. & Mistree, Farrokh, 2016. "Reliable flow in forward and after-sales supply chains considering propagated uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 409-436.
    10. Sleptchenko, A. & van der Heijden, M. C. & van Harten, A., 2005. "Using repair priorities to reduce stock investment in spare part networks," European Journal of Operational Research, Elsevier, vol. 163(3), pages 733-750, June.

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