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The design of sustainable logistics network under uncertainty

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  • Lee, Der-Horng
  • Dong, Meng
  • Bian, Wen
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    Abstract

    The design of sustainable logistics network has attracted growing attention with the stringent pressures from environmental and social requirements. This paper proposes a stochastic programming based approach to account for the design of sustainable logistics network under uncertainty. A solution approach integrating the sample average approximation scheme with an importance sampling strategy is developed. A case study involving a large-scale sustainable logistics network in Asia Pacific region is presented to demonstrate the significance of the developed stochastic model and the efficiency of the proposed solution approach.

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    Bibliographic Info

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

    Volume (Year): 128 (2010)
    Issue (Month): 1 (November)
    Pages: 159-166

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    Handle: RePEc:eee:proeco:v:128:y:2010:i:1:p:159-166

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

    Related research

    Keywords: Reverse logistics Network design Stochastic programming Sample average approximation Importance sampling;

    References

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    1. V.I. Norkin & G.C. Pflug & A. Ruszczynski, 1996. "A Branch and Bound Method for Stochastic Global Optimization," Working Papers wp96065, International Institute for Applied Systems Analysis.
    2. Li, Jianzhi & González, Miguel & Zhu, Yun, 2009. "A hybrid simulation optimization method for production planning of dedicated remanufacturing," International Journal of Production Economics, Elsevier, Elsevier, vol. 117(2), pages 286-301, February.
    3. Listes, Ovidiu & Dekker, Rommert, 2005. "A stochastic approach to a case study for product recovery network design," European Journal of Operational Research, Elsevier, vol. 160(1), pages 268-287, January.
    4. Charles J. Corbett & Robert D. Klassen, 2006. "Extending the Horizons: Environmental Excellence as Key to Improving Operations," Manufacturing & Service Operations Management, INFORMS, INFORMS, vol. 8(1), pages 5-22, March.
    5. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    6. Spengler, Th. & Puchert, H. & Penkuhn, T. & Rentz, O., 1997. "Environmental integrated production and recycling management," European Journal of Operational Research, Elsevier, vol. 97(2), pages 308-326, March.
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    Cited by:
    1. Shu, Jia & Li, Zhengyi & Shen, Houcai & Wu, Ting & Zhong, Weijun, 2012. "A logistics network design model with vendor managed inventory," International Journal of Production Economics, Elsevier, Elsevier, vol. 135(2), pages 754-761.
    2. Walther, Grit & Schatka, Anne & Spengler, Thomas S., 2012. "Design of regional production networks for second generation synthetic bio-fuel – A case study in Northern Germany," European Journal of Operational Research, Elsevier, vol. 218(1), pages 280-292.
    3. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    4. De Rosa, Vincenzo & Gebhard, Marina & Hartmann, Evi & Wollenweber, Jens, 2013. "Robust sustainable bi-directional logistics network design under uncertainty," International Journal of Production Economics, Elsevier, Elsevier, vol. 145(1), pages 184-198.
    5. Mohammadi, M. & Torabi, S.A. & Tavakkoli-Moghaddam, R., 2014. "Sustainable hub location under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 89-115.
    6. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, Elsevier, vol. 144(1), pages 118-127.
    7. Eskandarpour, Majid & Zegordi, Seyed Hessameddin & Nikbakhsh, Ehsan, 2013. "A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem," International Journal of Production Economics, Elsevier, Elsevier, vol. 145(1), pages 117-131.
    8. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    9. Vahdani, Behnam & Tavakkoli-Moghaddam, Reza & Modarres, Mohammad & Baboli, Armand, 2012. "Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1152-1168.
    10. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, Elsevier, vol. 140(1), pages 239-248.

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