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

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Author Info

  • 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.

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File URL: http://hdl.handle.net/1765/1191
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Bibliographic Info

Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number EI 2004-08.

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Date of creation: 10 Mar 2004
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Handle: RePEc:dgr:eureir:1765001191

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Web page: http://www.few.eur.nl/few

Related research

Keywords: inventory control; probabilistic recovery;

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References

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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. 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. 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.
  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. Bayindir, Z.P. & Teunter, R.H. & Dekker, R., 2005. "A comparison of inventory control policies for a joint manufacturing/Remanufacturing environment with remanufacturing yield loss," Econometric Institute Report EI 2005-10, Erasmus University Rotterdam, Econometric Institute.

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