摘要
逆向物流是物流领域的新视野,它不仅强调对废旧品的回收利用,更强调实现节约资源、保护环境和增强竞争力等目标。针对再制造逆向物流网络设计问题,在考虑废旧产品回收数量不确定的情况下,基于混合整数规划方法,建立了一个多目标的再制造逆向物流网络优化设计模型。模型以最小化网络设施总建设费用和最小化所建设施对居民产生的负效用为目标,可以确定网络中回收点和检测中心的数量、位置及其相应的物流量分配。并给出了用机会约束规划方法求解模型的方法。最后,通过算例验证了模型的有效性。
The reverse logistics is a new aspect of logistics sector, which emphasizes not only the recycle of wastes but also the realization of the goals as resources saving, environment protection and competence enhancement. To deal with optimal design problem of remanufacturing reverse logistics network,a muhi-objective optimization model for designing such a network was established based on mixed integer programming approach,considering the uncellainty of the returned quantities of used products. One objective of the model was to minimize the total cost of construction,and the other was to minimize the disutility to people. According to the model, the numbers and locations of collection centers and inspection centers, and the allocation of the corresponding goods flows in the network can be decided. The algorithm for solving the model using the method of chance constrained programming was proposed. Finally,the validity of the model was illustrated by a numerical example.
出处
《财务与金融》
北大核心
2011年第6期85-88,共4页
Accounting and Finance
基金
国家自然科学基金项目"不确定环境下再制造逆向物流网络的多周期多目标设计研究"(71071163)
关键词
再制造
逆向物流网络
多目标
优化模型
Remanufacturing
Reverse Logistics Network
Muhi-objective
Optimization Model