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A Continuous Review Inventory Model with Advance Policy Change and Obsolescence

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  • Pinçe, C.
  • Dekker, R.

Abstract

In this paper, we consider a continuous review inventory system of a slow moving item for which the demand rate drops to a lower level at a pre-determined time. Inventory system is controlled according to one-for-one replenishment policy with fixed lead time. Adaptation to the lower demand rate is achieved by changing the control policy in advance and letting the demand take away the excess stocks. We showed that the timing of the control policy change primarily determines the tradeoff between backordering penalties and obsolescence costs. We propose an approximate solution for the optimal time to shift to the new control policy minimizing the expected total cost during the transient period. We found that the advance policy change results in significant cost savings and our model yields near optimal expected total costs.

Suggested Citation

  • Pinçe, C. & Dekker, R., 2010. "A Continuous Review Inventory Model with Advance Policy Change and Obsolescence," Econometric Institute Research Papers EI 2009-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:18640
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    References listed on IDEAS

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    1. Jalil, M.N. & Zuidwijk, R.A. & Fleischmann, M. & van Nunen, J.A.E.E., 2009. "Spare Parts Logistics and Installed Base Information," ERIM Report Series Research in Management ERS-2009-002-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 University Rotterdam.
    2. Jing-Sheng Song & Paul H. Zipkin, 1996. "Managing Inventory with the Prospect of Obsolescence," Operations Research, INFORMS, vol. 44(1), pages 215-222, February.
    3. George W. Brown & John Y. Lu & Robert J. Wolfson, 1964. "Dynamic Modeling of Inventories Subject to Obsolescence," Management Science, INFORMS, vol. 11(1), pages 51-63, September.
    4. Israel David & Avraham Mehrez, 1995. "An Inventory Model with Exogenous Failures," Operations Research, INFORMS, vol. 43(5), pages 902-903, October.
    5. G. Hadley & T. M. Whitin, 1962. "A Family of Dynamic Inventory Models," Management Science, INFORMS, vol. 8(4), pages 458-469, July.
    6. Anthony Hart, 1973. "Determination of Excess Stock Quantities," Management Science, INFORMS, vol. 19(12), pages 1444-1451, August.
    7. C. Mohan & R. C. Garg, 1961. "Decision on Retention of Excess Stock," Operations Research, INFORMS, vol. 9(4), pages 496-499, August.
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    Cited by:

    1. van Jaarsveld, Willem & Dekker, Rommert, 2011. "Estimating obsolescence risk from demand data to enhance inventory control--A case study," International Journal of Production Economics, Elsevier, vol. 133(1), pages 423-431, September.

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