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Determination of recovery effort for a probabilistic recovery system under various inventory control policies

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  • Bayindir, Z.P.
  • Dekker, R.
  • Porras Musalem, E.

Abstract

In this study we investigate the desired level of recovery under various inventory control policies when the success of recovery is probabilistic. Recovery process is modelled as a single stage operation and recovery effort is represented by the expected time spent for it. The effect of increasing recovery effort on the success probability together with unit cost of the operation is included by assuming general forms of dependencies. The desired level of recovery is investigated under four inventory control policies for a wide range of system parameters. In this article, we present our computational results and their managerial implications.

Suggested Citation

  • Bayindir, Z.P. & Dekker, R. & Porras Musalem, E., 2004. "Determination of recovery effort for a probabilistic recovery system under various inventory control policies," Econometric Institute Research Papers EI 2004-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:1191
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    References listed on IDEAS

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    1. van der Laan, Erwin, 2003. "An NPV and AC analysis of a stochastic inventory system with joint manufacturing and remanufacturing," International Journal of Production Economics, Elsevier, vol. 81(1), pages 317-331, January.
    2. Teunter, Ruud & van der Laan, Erwin, 2002. "On the non-optimality of the average cost approach for inventory models with remanufacturing," International Journal of Production Economics, Elsevier, vol. 79(1), pages 67-73, September.
    3. Ferrer, Geraldo, 2003. "Yield information and supplier responsiveness in remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 149(3), pages 540-556, September.
    4. Teunter, Ruud H. & van der Laan, Erwin & Inderfurth, Karl, 2000. "How to set the holding cost rates in average cost inventory models with reverse logistics?," Omega, Elsevier, vol. 28(4), pages 409-415, August.
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    Cited by:

    1. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    2. Chung, Chun-Jen & Wee, Hui-Ming, 2011. "Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 195-203, January.
    3. Chung, Chun-Jen & Wee, Hui-Ming, 2008. "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 528-545, June.
    4. Komoto, H. & Tomiyama, T. & Silvester, S. & Brezet, H., 2011. "Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation," International Journal of Production Economics, Elsevier, vol. 134(2), pages 447-457, December.
    5. García-Alvarado, M.S. & Paquet, M. & Chaabane, A., 2015. "On inventory control of product recovery systems subject to environmental mechanisms," International Journal of Production Economics, Elsevier, vol. 165(C), pages 132-144.

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    Keywords

    inventory control; probabilistic recovery;

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