Journal
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 128, Issue 1, Pages 159-166Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2010.06.009
Keywords
Reverse logistics; Network design; Stochastic programming; Sample average approximation; Importance sampling
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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. (C) 2010 Elsevier B.V. All rights reserved.
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