Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ijpe.2010.06.009
Title: The design of sustainable logistics network under uncertainty
Authors: Lee, D.-H. 
Dong, M.
Bian, W.
Keywords: Importance sampling
Network design
Reverse logistics
Sample average approximation
Stochastic programming
Issue Date: Nov-2010
Source: Lee, D.-H., Dong, M., Bian, W. (2010-11). The design of sustainable logistics network under uncertainty. International Journal of Production Economics 128 (1) : 159-166. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ijpe.2010.06.009
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. © 2010 Elsevier B.V.All rights reserved.
Source Title: International Journal of Production Economics
URI: http://scholarbank.nus.edu.sg/handle/10635/74399
ISSN: 09255273
DOI: 10.1016/j.ijpe.2010.06.009
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