引入补偿策略的风险共担配送中心选址问题研究  

Research on Distribution Center Location Considering Risk Pooling and Compensation Policy

作　　者：王非[1,2] 王丽萍[1] 贾涛[3] 

机构地区：[1]长安大学经济管理学院,陕西西安710064 [2]西安外国语大学人文地理研究所,陕西西安710061 [3]西安交通大学管理学院,陕西西安710069

出　　处：《公路交通科技》2010年第6期148-153,共6页Journal of Highway and Transportation Research and Development

基　　金：国家社会科学基金资助项目(07XJY015);长安大学科技创新项目(CHD2009JC149);陕西省教育厅专项科研计划基金(06JK056)

摘　　要：在LMRPVCC问题优化模型基础上,在目标函数与约束条件中引入运输补偿成本项及服务半径Dr,将模型扩展为引入补偿策略的LMRPVCC选址-库存问题的非线性整数规划模型。利用所设计的粒子群算法对Daskin和Shen的文章中的49节点、88节点算例求解,并对补偿系数W、服务半径Dr及运输成本系数β进行敏感性分析,认为服务半径Dr越小,超出服务半径的零售商数量越多,配送中心需额外支出的补偿费用越高;服务半径Dr越大,超出服务半径的零售商数量越少,配送中心需支出的补偿费用越少。补偿成本系数W、运输成本系数β与模型目标函数值正相关。Based on LMRPVCC optimization model,by introducing compensation cost and service radius Dr into objective function and constraint condition,the model was expanded to a nonlinear integer-programming model for solving LMRPVCC location-stock problem with compensation policy.Using particle swarm optimization algorithm and 49-node and 88-node computational instances,the suboptimum solutions wer obtained.The numerical examples were given to evaluate the effectiveness of the models by changing compensation cost factor W,service radius Dr and transportation cost factor β.It is concluded that（1） When Dr is shorter,there will be more retailers out of Dr,and distribution centers will cost more additional compensation costs;while when Dris longer,there will be less retailers out of Dr,and distribution centers requires less compensate costs.（2） W and β are positively correlated with the objective function value.

关 键 词：运输经济 选址 粒子群算法 配送中心 补偿策略 

分 类 号：U492[交通运输工程—交通运输规划与管理]