逆向物流网络设计多目标随机规划模型

A Multi-objective Reverse Logistics Network Design Model under Stochastic Environment

以钢铁工业企业废钢回收循环利用为背景,对企业的逆向物流网络进行设计。考虑需求市场需求量、废钢回收量以及回收产品质量的不确定性,以物流网络成本以及对环境的影响最小化为目标,建立了多目标随机规划模型,决策逆向物流网络中工厂以及回收处理中心的位置、数目和网络节点间的物流量分配。利用约束法处理多目标转化为单目标模型,结合情景分析对随机规划模型进行求解。最后,在MATLAB2014a平台调用CPLEX,用算例验证了模型的有效性,并对ε参数的敏感性进行了分析。

This paper proposes a reverse logistics network design model for industrial enterprises who recycling the scraped iron and steel. It considers uncertainty of the market demand,collected products＇ quantity and recycled products＇ quality.The objective of reverse logistics network design is to minimize the total costs and minimize the environmental impact. In this paper,a multi-objective stochastic programming model has been established for decision-making of recycling plants locations,numbers of plants and collection centers,and material flow distribution between network nodes. Constraint method has been applied to handle multiple objectives into a single objective model. Stochastic programming model is solved combined with scenario analysis. In this paper,numerical examples have been calculated on MATLAB 2014 a with CPLEX tool,and the computational result shows that the model is effective. At last,the sensitivity of ε parameters is analyzed.