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Inventory management in a multi-echelon spare parts supply chain

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  • Kalchschmidt, Matteo
  • Zotteri, Giulio
  • Verganti, Roberto

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  • Kalchschmidt, Matteo & Zotteri, Giulio & Verganti, Roberto, 2003. "Inventory management in a multi-echelon spare parts supply chain," International Journal of Production Economics, Elsevier, vol. 81(1), pages 397-413, January.
    • Handle: RePEc:eee:proeco:v:81-82:y:2003:i:1:p:397-413
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    References listed on IDEAS

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    1. Clark, Andrew J., 1994. "Multi-echelon inventory theory -- A retrospective," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 271-275, June.
    2. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    3. Diks, E. B. & de Kok, A. G. & Lagodimos, A. G., 1996. "Multi-echelon systems: A service measure perspective," European Journal of Operational Research, Elsevier, vol. 95(2), pages 241-263, December.
    4. Bartezzaghi, Emilio & Verganti, Roberto, 1995. "Managing demand uncertainty through order overplanning," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 107-120, August.
    5. Antony Svoronos & Paul Zipkin, 1991. "Evaluation of One-for-One Replenishment Policies for Multiechelon Inventory Systems," Management Science, INFORMS, vol. 37(1), pages 68-83, January.
    6. Kekre, Sunder & Morton, Thomas E. & Smunt, Timothy L., 1990. "Forecasting using partially known demands," International Journal of Forecasting, Elsevier, vol. 6(1), pages 115-125.
    7. Vereecke, Ann & Verstraeten, Peter, 1994. "An inventory management model for an inventory consisting of lumpy items, slow movers and fast movers," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 379-389, June.
    8. van Houtum, G. J. & Inderfurth, K. & Zijm, W. H. M., 1996. "Materials coordination in stochastic multi-echelon systems," European Journal of Operational Research, Elsevier, vol. 95(1), pages 1-23, November.
    9. Hau L. Lee, 1987. "A Multi-Echelon Inventory Model for Repairable Items with Emergency Lateral Transshipments," Management Science, INFORMS, vol. 33(10), pages 1302-1316, October.
    10. Axsater, Sven & Forsberg, Rolf & Zhang, Wen-Fa, 1994. "Approximating general multi-echelon inventory systems by Poisson models," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 201-206, June.
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    Cited by:

    1. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The role of the forecasting process in improving forecast accuracy and operational performance," International Journal of Production Economics, Elsevier, vol. 131(1), pages 204-214, May.
    2. Manikas, Andrew S. & Patel, Pankaj C., 2016. "Managing sales surprise: The role of operational slack and volume flexibility," International Journal of Production Economics, Elsevier, vol. 179(C), pages 101-116.
    3. Gutierrez, Rafael S. & Solis, Adriano O. & Mukhopadhyay, Somnath, 2008. "Lumpy demand forecasting using neural networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 409-420, February.
    4. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
    5. Yan, Xi Steven & Robb, David J. & Silver, Edward A., 2009. "Inventory performance under pack size constraints and spatially-correlated demand," International Journal of Production Economics, Elsevier, vol. 117(2), pages 330-337, February.
    6. Parvaneh Samouei & Amir Kheirkhah & Parviz Fattahi, 2015. "A network approach modeling of multi-echelon spare-part inventory system with backorders and quantity discount," Annals of Operations Research, Springer, vol. 226(1), pages 551-563, March.
    7. Kevin Geevers & Lotte Hezewijk & Martijn R. K. Mes, 2024. "Multi-echelon inventory optimization using deep reinforcement learning," 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. 32(3), pages 653-683, September.
    8. Nowicki, David R. & Randall, Wesley S. & Ramirez-Marquez, Jose Emmanuel, 2012. "Improving the computational efficiency of metric-based spares algorithms," European Journal of Operational Research, Elsevier, vol. 219(2), pages 324-334.
    9. Gumus, Alev Taskin & Guneri, Ali Fuat & Ulengin, Fusun, 2010. "A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments," International Journal of Production Economics, Elsevier, vol. 128(1), pages 248-260, November.
    10. Alfieri, Arianna & Pastore, Erica & Zotteri, Giulio, 2017. "Dynamic inventory rationing: How to allocate stock according to managerial priorities. An empirical study," International Journal of Production Economics, Elsevier, vol. 189(C), pages 14-29.
    11. Kleber, Rainer & Zanoni, Simone & Zavanella, Lucio, 2011. "On how buyback and remanufacturing strategies affect the profitability of spare parts supply chains," International Journal of Production Economics, Elsevier, vol. 133(1), pages 135-142, September.
    12. D Nowicki & U D Kumar & H J Steudel & D Verma, 2008. "Spares provisioning under performance-based logistics contract: profit-centric approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 342-352, March.
    13. Abdel-Malek, Layek & Kullpattaranirun, Tarathorn & Nanthavanij, Suebsak, 2005. "A framework for comparing outsourcing strategies in multi-layered supply chains," International Journal of Production Economics, Elsevier, vol. 97(3), pages 318-328, September.
    14. Araceli Zavala & David Nowicki & Jose Emmanuel Ramirez-Marquez, 2019. "Quantitative metrics to analyze supply chain resilience and associated costs," Journal of Risk and Reliability, , vol. 233(2), pages 186-199, April.
    15. Jouni, Paakki & Huiskonen, Janne & Pirttilä, Timo, 2011. "Improving global spare parts distribution chain performance through part categorization: A case study," International Journal of Production Economics, Elsevier, vol. 133(1), pages 164-171, September.
    16. Bacchetti, A. & Plebani, F. & Saccani, N. & Syntetos, A.A., 2013. "Empirically-driven hierarchical classification of stock keeping units," International Journal of Production Economics, Elsevier, vol. 143(2), pages 263-274.
    17. Bacchetti, Andrea & Saccani, Nicola, 2012. "Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice," Omega, Elsevier, vol. 40(6), pages 722-737.

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