政府补贴下的再制造逆向物流多目标选址模型及算法  

Multi-objective location model and algorithm for considering government subsidy in reverse logistics

作　　者：周向红[1] 高阳[1] 任剑[2] 郭海燕[1] 

机构地区：[1]中南大学商学院,长沙410083 [2]湖南商学院计算机与信息工程学院,长沙410205

出　　处：《系统工程理论与实践》2015年第8期1996-2003,共8页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(71071163);教育部人文社会科学研究青年基金(13YJCZH145);湖南省哲学社会科学基金(12YB A195);中国博士后科学基金(2013M531784)

摘　　要：考虑政府行为对再制造逆向物流的影响,本文通过对社会成本、经济成本和回收收入的优化,构建一个多周期多目标的动态混合整数规划模型.在模型中对政府补贴行为进行定量描述,其补贴大小与实际回收率、规定回收率以及单位补贴等相关,以及据此设计多目标粒子群算法对模型进行求解.通过仿真实例,验证模型的有效性和算法的可行性,并对政府补贴参数进行了灵敏度分析.Considering the effect of government behavior on remanufacturing reverse logistics, with the social cost, economic cost and recovery of income optimized, a multi-period and multi-objective dynamic mixed integer programming model is constructed. The behavior of government subsidies, the size of which is related with actual recovery rate, the fixed recovery rate and per unit subsidy, is quantitatively described in the model. A multi-objective particle swarm optimization （PSO） algorithm is designed which is used to solve the model. An example is given to illustrate the feasibility of the model and the effectiveness of the algorithm, and the sensitivity analysis of the government subsidy parameter is given.

关 键 词：再制造逆向物流 多目标选址模型 政府补贴 多目标粒子群算法 

分 类 号：F252[经济管理—国民经济]