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Modeling Emergency Supply Flexibility in a Two-Echelon Inventory System

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Author Info

  • Patrik Alfredsson

    (Systecon AB, Box 5205, SE-102 45 Stockholm, Sweden)

  • Jos Verrijdt

    (Eindhoven University of Technology, Faculty of Technology Management, Paviljoen F16, P.O. Box 513, 5600 MB, The Netherlands)

Registered author(s):

    Abstract

    We consider a two-echelon inventory system for service parts. To obtain high service levels at a low cost we allow not only for normal supply of parts but also for emergency supply options in terms of lateral transshipments and direct deliveries. After presenting the strategy we use for satisfying customer demand, we construct an analytical model that we use to calculate relevant performance measures. Simulation shows that our model produces accurate estimates, and that the performance of the inventory system is insensitive to the lead-time distribution. After introducing a cost structure we show that the strategy we propose can result in considerable savings when compared to using only normal supply. Comparison of the results of our model with the results of other models indicates that the combined use of lateral transshipments and direct deliveries can lead to significant cost savings.

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    File URL: http://dx.doi.org/10.1287/mnsc.45.10.1416
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 45 (1999)
    Issue (Month): 10 (October)
    Pages: 1416-1431

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    Handle: RePEc:inm:ormnsc:v:45:y:1999:i:10:p:1416-1431

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    Related research

    Keywords: inventory control; service parts; emergency supply;

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    Citations

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    Cited by:
    1. Gabor, A.F. & Guang, Y. & Axsäter, S., 2014. "Comparison of two methods for customer differentiation," ERIM Report Series Research in Management ERS-2014-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
    2. (Yale) Gong, Yeming & Yücesan, Enver, 2012. "Stochastic optimization for transshipment problems with positive replenishment lead times," International Journal of Production Economics, Elsevier, vol. 135(1), pages 61-72.
    3. van Wijk, A.C.C. & Adan, I.J.B.F. & van Houtum, G.J., 2012. "Approximate evaluation of multi-location inventory models with lateral transshipments and hold back levels," European Journal of Operational Research, Elsevier, vol. 218(3), pages 624-635.
    4. Xiao, Yongbo & Chen, Jian & Lee, Chung-Yee, 2010. "Optimal decisions for assemble-to-order systems with uncertain assembly capacity," International Journal of Production Economics, Elsevier, vol. 123(1), pages 155-165, January.
    5. 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.
    6. Satır, Benhür & Savasaneril, Secil & Serin, Yasemin, 2012. "Pooling through lateral transshipments in service parts systems," European Journal of Operational Research, Elsevier, vol. 220(2), pages 370-377.
    7. Axsater, Sven, 2003. "Evaluation of unidirectional lateral transshipments and substitutions in inventory systems," European Journal of Operational Research, Elsevier, vol. 149(2), pages 438-447, September.
    8. Paterson, Colin & Kiesmüller, Gudrun & Teunter, Ruud & Glazebrook, Kevin, 2011. "Inventory models with lateral transshipments: A review," European Journal of Operational Research, Elsevier, vol. 210(2), pages 125-136, April.
    9. Yang, Guangyuan & Dekker, Rommert & Gabor, Adriana F. & Axsäter, Sven, 2013. "Service parts inventory control with lateral transshipment and pipeline stockflexibility," International Journal of Production Economics, Elsevier, vol. 142(2), pages 278-289.
    10. Iyoob, Ilyas Mohamed & Kutanoglu, Erhan, 2013. "Inventory sharing in integrated network design and inventory optimization with low-demand parts," European Journal of Operational Research, Elsevier, vol. 224(3), pages 497-506.
    11. Mirzahosseinian, H. & Piplani, R., 2011. "A study of repairable parts inventory system operating under performance-based contract," European Journal of Operational Research, Elsevier, vol. 214(2), pages 256-261, October.
    12. 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.
    13. Seidscher, Arkadi & Minner, Stefan, 2013. "A Semi-Markov decision problem for proactive and reactive transshipments between multiple warehouses," European Journal of Operational Research, Elsevier, vol. 230(1), pages 42-52.
    14. Kevin Chiang, Wei-yu & Monahan, George E., 2005. "Managing inventories in a two-echelon dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 162(2), pages 325-341, April.
    15. Liu, Zhongyi & Chen, Lihua & Li, Ling & Zhai, Xin, 2014. "Risk hedging in a supply chain: Option vs. price discount," International Journal of Production Economics, Elsevier, vol. 151(C), pages 112-120.
    16. Al Hanbali, Ahmad & van der Heijden, Matthieu, 2013. "Interval availability analysis of a two-echelon, multi-item system," European Journal of Operational Research, Elsevier, vol. 228(3), pages 494-503.
    17. Tai, Allen H. & Ching, Wai-Ki, 2014. "Optimal inventory policy for a Markovian two-echelon system with returns and lateral transshipment," International Journal of Production Economics, Elsevier, vol. 151(C), pages 48-55.
    18. Mahar, Stephen & Bretthauer, Kurt M. & Venkataramanan, M.A., 2009. "The value of virtual pooling in dual sales channel supply chains," European Journal of Operational Research, Elsevier, vol. 192(2), pages 561-575, January.
    19. Tiemessen, H.G.H. & Fleischmann, M. & van Houtum, G.J. & van Nunen, J.A.E.E. & Pratsini, E., 2013. "Dynamic demand fulfillment in spare parts networks with multiple customer classes," European Journal of Operational Research, Elsevier, vol. 228(2), pages 367-380.
    20. Fritzsche, R., 2012. "Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1065-1079.
    21. Alvarez, Elisa & van der Heijden, Matthieu, 2014. "On two-echelon inventory systems with Poisson demand and lost sales," European Journal of Operational Research, Elsevier, vol. 235(1), pages 334-338.
    22. Wong, Hartanto & Cattrysse, Dirk & Van Oudheusden, Dirk, 2005. "Inventory pooling of repairable spare parts with non-zero lateral transshipment time and delayed lateral transshipments," European Journal of Operational Research, Elsevier, vol. 165(1), pages 207-218, August.
    23. Kutanoglu, Erhan & Mahajan, Mohit, 2009. "An inventory sharing and allocation method for a multi-location service parts logistics network with time-based service levels," European Journal of Operational Research, Elsevier, vol. 194(3), pages 728-742, May.
    24. Selçuk, B., 2013. "An adaptive base stock policy for repairable item inventory control," International Journal of Production Economics, Elsevier, vol. 143(2), pages 304-315.
    25. Herer, Yale T. & Tzur, Michal & Yucesan, Enver, 2002. "Transshipments: An emerging inventory recourse to achieve supply chain leagility," International Journal of Production Economics, Elsevier, vol. 80(3), pages 201-212, December.

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