The design of sustainable logistics network under uncertainty

Der-Horng Lee, Meng Dong and Wen Bian

International Journal of Production Economics, 2010, vol. 128, issue 1, 159-166

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.

Keywords: Reverse; logistics; Network; design; Stochastic; programming; Sample; average; approximation; Importance; sampling (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (44)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:128:y:2010:i:1:p:159-166

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