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Cost allocation in spare parts inventory pooling

Author

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  • Wong, Hartanto
  • Oudheusden, Dirk Van
  • Cattrysse, Dirk

Abstract

In this paper we present the use of game theoretic models to analyse the cost allocation problem in the context of repairable spare parts pooling. Two situations are studied. In the first situation, all pooling members fully cooperate without having self-interest. We use the core concept from cooperative game theory as the basis for designing a fair cost allocation. In the second situation, competition exists as each member has an interest in maximizing his own benefit. Using the concept of Nash equilibrium, we show that the cost allocation policy influences the companies in making their inventory decisions.

Suggested Citation

  • Wong, Hartanto & Oudheusden, Dirk Van & Cattrysse, Dirk, 2007. "Cost allocation in spare parts inventory pooling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 370-386, July.
    • Handle: RePEc:eee:transe:v:43:y:2007:i:4:p:370-386
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    Citations

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    Cited by:

    1. Patriarca, Riccardo & Costantino, Francesco & Di Gravio, Giulio & Tronci, Massimo, 2016. "Inventory optimization for a customer airline in a Performance Based Contract," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 206-216.
    2. Karsten, Frank & Basten, Rob J.I., 2014. "Pooling of spare parts between multiple users: How to share the benefits?," European Journal of Operational Research, Elsevier, vol. 233(1), pages 94-104.
    3. Li, Li & Jiang, Li, 2022. "Saving costs and improving selling through competitor cooperation in sourcing," European Journal of Operational Research, Elsevier, vol. 302(3), pages 970-982.
    4. 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.
    5. I. Zouaghi, 2011. "A theoretical systemic analysis of organizational tacit knowledge memorization," Post-Print halshs-00665703, HAL.
    6. Nassim Mrabti & Nadia Hamani & Laurent Delahoche, 2022. "A Comprehensive Literature Review on Sustainable Horizontal Collaboration," Sustainability, MDPI, vol. 14(18), pages 1-38, September.
    7. Loe Schlicher & Marco Slikker & Geert‐Jan van Houtum, 2017. "Probabilistic resource pooling games," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(7), pages 531-546, October.
    8. Frank Karsten & Marco Slikker & Geert‐Jan van Houtum, 2012. "Inventory pooling games for expensive, low‐demand spare parts," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(5), pages 311-324, August.
    9. 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.
    10. M Dror & B C Hartman, 2011. "Survey of cooperative inventory games and extensions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 565-580, April.
    11. Godoy, David R. & Pascual, Rodrigo & Knights, Peter, 2014. "A decision-making framework to integrate maintenance contract conditions with critical spares management," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 102-108.
    12. Braglia, M. & Frosolini, M., 2013. "Virtual pooled inventories for equipment-intensive industries. An implementation in a paper district," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 26-37.

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