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.
出处
《计算机应用研究》
CSCD
北大核心
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)
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
logistics service supplier selection
customer service satisfaction
bi-level programming model
entropy method
cloud-based adaptive genetic algorithm
