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A hybrid simulation optimization method for production planning of dedicated remanufacturing

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  • Li, Jianzhi
  • González, Miguel
  • Zhu, Yun
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    Abstract

    This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 117 (2009)
    Issue (Month): 2 (February)
    Pages: 286-301

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    Handle: RePEc:eee:proeco:v:117:y:2009:i:2:p:286-301

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

    Related research

    Keywords: Remanufacturing Optimization with simulation Genetic algorithm Fractional factorial design;

    References

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    1. Ayres, Robert & Ferrer, Geraldo & Van Leynseele, Tania, 1997. "Eco-efficiency, asset recovery and remanufacturing," European Management Journal, Elsevier, vol. 15(5), pages 557-574, October.
    2. Inderfurth, K. & de Kok, A. G. & Flapper, S. D. P., 2001. "Product recovery in stochastic remanufacturing systems with multiple reuse options," European Journal of Operational Research, Elsevier, vol. 133(1), pages 130-152, August.
    3. Mula, J. & Poler, R. & Garcia-Sabater, J.P. & Lario, F.C., 2006. "Models for production planning under uncertainty: A review," International Journal of Production Economics, Elsevier, vol. 103(1), pages 271-285, September.
    4. Mahadevan, B. & Pyke, David F. & Fleischmann, Moritz, 2003. "Periodic review, push inventory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 151(3), pages 536-551, December.
    5. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
    6. Minner, Stefan, 2001. "Strategic safety stocks in reverse logistics supply chains," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 417-428, May.
    7. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2007. "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1063-1077, June.
    8. Alberto, I. & Azcarate, C. & Mallor, F. & Mateo, P. M., 2002. "Optimization with simulation and multiobjective analysis in industrial decision-making: A case study," European Journal of Operational Research, Elsevier, vol. 140(2), pages 373-383, July.
    9. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc, 1996. "Product remanufacturing and disposal: A numerical comparison of alternative control strategies," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 489-498, August.
    10. Inderfurth, Karl & van der Laan, Erwin, 2001. "Leadtime effects and policy improvement for stochastic inventory control with remanufacturing," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 381-390, May.
    11. Guide, V. Daniel R. & Kraus, Mark E. & Srivastava, Rajesh, 1997. "Scheduling policies for remanufacturing," International Journal of Production Economics, Elsevier, vol. 48(2), pages 187-204, January.
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    Citations

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    Cited by:
    1. Aqlan, Faisal & Lam, Sarah S. & Ramakrishnan, Sreekanth, 2014. "An integrated simulation–optimization study for consolidating production lines in a configure-to-order production environment," International Journal of Production Economics, Elsevier, vol. 148(C), pages 51-61.
    2. Nouira, Imen & Frein, Yannick & Hadj-Alouane, Atidel B., 2014. "Optimization of manufacturing systems under environmental considerations for a greenness-dependent demand," International Journal of Production Economics, Elsevier, vol. 150(C), pages 188-198.
    3. Lee, Der-Horng & Dong, Meng & Bian, Wen, 2010. "The design of sustainable logistics network under uncertainty," International Journal of Production Economics, Elsevier, vol. 128(1), pages 159-166, November.
    4. Gansterer, Margaretha & Almeder, Christian & Hartl, Richard F., 2014. "Simulation-based optimization methods for setting production planning parameters," International Journal of Production Economics, Elsevier, vol. 151(C), pages 206-213.
    5. Hazen, Benjamin T. & Overstreet, Robert E. & Jones-Farmer, L. Allison & Field, Hubert S., 2012. "The role of ambiguity tolerance in consumer perception of remanufactured products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 781-790.
    6. Pellerin, Robert & Sadr, Javad & Gharbi, Ali & Malhamé, Roland, 2009. "A production rate control policy for stochastic repair and remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 121(1), pages 39-48, September.
    7. Pokharel, Shaligram & Liang, Yijiong, 2012. "A model to evaluate acquisition price and quantity of used products for remanufacturing," International Journal of Production Economics, Elsevier, vol. 138(1), pages 170-176.

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