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Customer differentiated end-of-life inventory problem

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  • Pourakbar, Morteza
  • Dekker, Rommert

Abstract

This paper deals with the service parts end-of-life inventory problem in a circumstance that demands for service parts are differentiated. Customer differentiation might be due to criticality of the demand or based on various service contracts. In both cases, we model the problem as a finite horizon stochastic dynamic program and characterize the structure of the optimal inventory policy. We show that when customers are differentiated based on the demand criticality then the optimal structure consists of time and state dependent threshold levels for inventory rationing. In case of differentiation based on service contracts, we show that in addition to rationing thresholds we also need contract extension thresholds by which the system decides whether to offer an extension to an expiring contract or not. By numerical experiments in both cases, we identify the value of incorporating such decisions in service parts end-of-life inventory management with customer differentiation. Moreover, we show that these decisions not only result in cost efficiency but also decrease the risk of part obsolescence drastically.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 222 (2012)
Issue (Month): 1 ()
Pages: 44-53

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Handle: RePEc:eee:ejores:v:222:y:2012:i:1:p:44-53

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Web page: http://www.elsevier.com/locate/eor

Related research

Keywords: End-of-life inventory; Spare parts; Customer differentiation;

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References

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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. Dekker, R. & Kleijn, M.J. & de Rooij, P.J., 1996. "A spare parts stocking policy based on equipment criticality," Econometric Institute Research Papers EI 9625-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  3. Teunter, Ruud H. & Klein Haneveld, Willem K., 2002. "Inventory control of service parts in the final phase," European Journal of Operational Research, Elsevier, vol. 137(3), pages 497-511, March.
  4. Ritchie, E. & Wilcox, P., 1977. "Renewal theory forecasting for stock control," European Journal of Operational Research, Elsevier, vol. 1(2), pages 90-93, March.
  5. Cattani, Kyle D. & Souza, Gilvan C., 2003. "Good buy? Delaying end-of-life purchases," European Journal of Operational Research, Elsevier, vol. 146(1), pages 216-228, April.
  6. Teunter, Ruud H. & Fortuin, Leonard, 1998. "End-of-life service: A case study," European Journal of Operational Research, Elsevier, vol. 107(1), pages 19-34, May.
  7. Teunter, Ruud H. & Fortuin, Leonard, 1999. "End-of-life service," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 487-497, March.
  8. Donald M. Topkis, 1968. "Optimal Ordering and Rationing Policies in a Nonstationary Dynamic Inventory Model with n Demand Classes," Management Science, INFORMS, vol. 15(3), pages 160-176, November.
  9. Pourakbar, M. & van der Laan, E.A. & Dekker, R., 2011. "End-of-Life Inventory Problem with Phase-out Returns," Econometric Institute Research Papers EI 2011-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  10. Teunter, Ruud H. & Klein Haneveld, Willem K., 2008. "Dynamic inventory rationing strategies for inventory systems with two demand classes, Poisson demand and backordering," European Journal of Operational Research, Elsevier, vol. 190(1), pages 156-178, October.
  11. FadIloglu, Mehmet Murat & Bulut, Ă–nder, 2010. "A dynamic rationing policy for continuous-review inventory systems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 675-685, May.
  12. Francis de VĂ©ricourt & Fikri Karaesmen & Yves Dallery, 2002. "Optimal Stock Allocation for a Capacitated Supply System," Management Science, INFORMS, vol. 48(11), pages 1486-1501, November.
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Cited by:
  1. Shen, Yuelin & Willems, Sean P., 2014. "Modeling sourcing strategies to mitigate part obsolescence," European Journal of Operational Research, Elsevier, vol. 236(2), pages 522-533.

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