期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 128, 期 1, 页码 159-166出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2010.06.009
关键词
Reverse logistics; Network design; Stochastic programming; Sample average approximation; Importance sampling
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据