物流服务供应商选择的双层规划模型及云遗传算法  

Bi-level programming model and cloud genetic algorithm for logistics service supplier selection

作　　者：王旭[1] 石琳[2] 葛显龙[2] 

机构地区：[1]重庆大学贸易与行政学院,重庆400030 [2]重庆大学机械工程学院,重庆400030

出　　处：《计算机应用研究》2011年第8期2871-2875,共5页Application Research of Computers

基　　金：国家"863"计划资助项目(2006AA04A123);重庆市自然科学基金资助项目(CSTC2008BB2173);中央高校基本科研业务费资助项目(CDJSK100043)

摘　　要：在物流服务供应链体系下,针对功能型物流服务供应商的选择问题,提出了使用双层规划模型分析方法。上层规划以集成物流服务供应商的外包业务成本最低为目标,下层规划以客户服务满意度最大为目标。其中,在下层规划中提出客户服务满意度指数模型,并借助熵权法对模型中的各外显指标进行赋权,进而得出客户服务满意度指数。最后,结合模型特点设计了云自适应遗传算法,并借助算例验证了模型和算法的有效性。In the logistics service supply chain system,designed a bi-level programming model for the functional logistics service supplier selection problem.The upper-level objective function determined the total outsourcing service costs belonged integrated logistics service supplier should be minimized,the lower-level objective function was to maximize customer service satisfaction.In the lower-level,proposed customer service satisfaction index model,and then obtained customer service satisfaction index by empowering each explicit indicator in the model using entropy method.Finally,combined with the model features,designed a cloud-based adaptive genetic algorithm,and validated the reasonability of the model with algorithm through an example.

关 键 词：服务供应商选择 客户服务满意度 双层规划模型 熵权法 云自适应遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]