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A robust optimization model for green regional logistics network design with uncertainty in future logistics demand

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成果类型:
期刊论文
作者:
Zhang, Dezhi;Li, Xialian;Huang, Yin*;Li, Shuangyan;Qian, Qi
通讯作者:
Huang, Yin
作者机构:
[Huang, Yin; Zhang, Dezhi; Qian, Qi; Li, Xialian] Cent S Univ, Sch Traffic & Transportat Engn, Changsha 410075, Hunan, Peoples R China.
[Li, Shuangyan] Cent South Univ Forestry & Technol, Sch Transportat & Logist, Changsha, Hunan, Peoples R China.
通讯机构:
[Huang, Yin] C
Cent S Univ, Sch Traffic & Transportat Engn, Changsha 410075, Hunan, Peoples R China.
语种:
英文
关键词:
Regional logistics network;sustainability;logistics demand uncertainty;two-stage robust design;chance constraint;genetic algorithm
期刊:
Advances in Mechanical Engineering
ISSN:
1687-8132
年:
2015
卷:
7
期:
12
基金类别:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work that is described in this paper was supported by grants from Graduate student teaching reform project of Central South University (No. 2014JGB36), Teacher Foundation of Central South University (No. 2013JSJJ0015) and Foundation of Central South Forestry University of Science and Technology.
机构署名:
本校为其他机构
院系归属:
交通运输与物流学院
摘要:
This article proposes a new model to address the design problem of a sustainable regional logistics network with uncertainty in future logistics demand. In the proposed model, the future logistics demand is assumed to be a random variable with a given probability distribution. A set of chance constraints with regard to logistics service capacity and environmental impacts is incorporated to consider the sustainability of logistics network design. The proposed model is formulated as a two-stage robust optimization problem. The first-stage problem before the realization of future logistics demand...

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