文献类型：期刊文献

中文题名：大型废旧产品回收网络的数学模型与算法研究

英文题名：Research on mathematical model and algorithm for large composite recovery network of used products

作者：范体军[1];常香云[1];陈荣秋[2];胡清淮[3]

机构：[1]华东理工大学商学院,上海200237;[2]华中科技大学管理学院,武汉430074;[3]武汉工程大学,武汉430073

年份：2009

卷号：12

期号：4

起止页码：94

中文期刊名：管理科学学报

外文期刊名：Journal of Management Sciences in China

收录：CSTPCD;;北大核心:【北大核心2008】；CSSCI:【CSSCI2008_2009】；

基金：国家自然科学基金重点资助项目(70332001);国家自然科学基金资助项目(70871038;70472057);上海市教育委员会科研创新重点资助项目(09ZS65)

语种：中文

中文关键词：回收网络;逆向物流;非线性整数目标规划;Bender分解算法;有界变量

外文关键词：recovery network; reverse logistics; large scale nonlinear integer goal programming; bender decomposition algorithm; bounded variables

摘要：废旧产品的回收与循环利用是关系当前国家资源与环境保护以及可持续性发展的重要问题.以废旧产品回收利用的社会效益和经济效益为目标,深入研究了废旧产品回收网络系统的优化设计,提出了优化设计的数学模型和计算方法,即大型非线性整数目标规划数学模型和有界变量Benders分解算法.应用示例的计算结果,证明了提出的模型和算法的可行性.
The recovery and circulating reutilization of used products are of vital importance for both resource and environment protections and sustained development. This paper presents an intensive study on the opti- mized design for large composite recovery network of used products with the objective of maximizing both the social and economical profits from the recovery and reutilization of used products. The mathematical model and algorithm are proposed for designing the recovery network of the reverse logistics, that is, the large scale non- linear integer goal programming model and the Bender decomposition algorithm with bounded variables. The relatively larger application examples are calculated which manifests the availability of the model and algorithm proposed.