An Integrated Optimization Model of a Closed-Loop Supply Chain Under Uncertainty

被引：1
|
作者：
Zhu, Xiaoxia [1 ]
Xu, Xiuquan [2 ]
机构：
[1] Hebei Univ Sci & Technol, Sch Sci, Shijiazhuang 050018, Hebei, Peoples R China
[2] Jiao Tong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2 | 2013年
关键词：
Closed-loop supply chain; Products repair; Modular reutilization; Uncertainty environment; Hybrid genetic algorithm;
D O I：
10.1007/978-3-642-32054-5_197
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper studies a closed-loop supply chain, mainly consisting of positive selling, repairing, and remanufacturing under uncertainty. Then, we build a model for the closed-loop supply chain integration and optimization under uncertainty, in which a comprehensive utility function is used to clarify the random parameters, so that we can transform the model into a mixed integer programming model and do further analysis by hybrid genetic algorithm. The feasibility and validity of the model are verified by illustrative examples. This paper provides an effective decision-making tool for the closed-loop supply chain design. It is useful for the integration of forward and reverse supply chains.
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页数：7
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