The design of sustainable logistics network under uncertainty
AbstractThe 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 InfoArticle provided by Elsevier in its journal International Journal of Production Economics.
Volume (Year): 128 (2010)
Issue (Month): 1 (November)
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Web page: http://www.elsevier.com/locate/ijpe
Reverse logistics Network design Stochastic programming Sample average approximation Importance sampling;
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