文章基本信息

标题：An Integrated Forward/Reverse Logistics Network Optimization Model for Multi-Stage Capacitated Supply Chain
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作者：Lida Tafaghodi Khajavi ; Seyed-Mohammad Seyed-Hosseini ; Ahmad Makui 等
期刊名称：iBusiness
印刷版ISSN：2150-4075
电子版ISSN：2150-4083
出版年度：2011
卷号：3
期号：2
页码：229-235
DOI：10.4236/ib.2011.32030
出版社：Scientific Research Publishing
摘要：In this study, the integrated forward/reverse logistics network is investigated, and a capacitated multi-stage logistics network design is proposed by formulating a generalized logistics network problem into a bi-objective mixed-integer programming model (MIP). The purpose is to minimize the total costs and maximize the responsiveness of the closed- loop supply chain network simultaneously. Moreover branch and bound algorithm is applied to find a global optimum for this model which provides the decisions related to the facility location problem, optimum quantity of shipped product, and facility capacity. Finally, a numerical example is conducted in order to show the power of the proposed MIP model to avoid the sub-optimality caused by separate design of the forward and reverse logistics networks. It has been shown that such an approach can significantly help the managers to make decisions about the problems associated with integrated logistics network design.
关键词：Integrated Forward/Reverse Logistics Network; Closed-Loop Supply Chain Network; Mixed-Integer Linear Programming; Multi-Objective Optimization; Capacity and Location Decision