The Design of Sustainable Logistics Network Under Uncertainty

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 as well as the efficiency of the proposed solution approach.

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