【作者】 曹振宇； 周根贵； 许琪；

【Author】 Cao Zhenyu~1 Zhou Gengui~1 Xu Qi~2 College of Business Administration,Zhejiang University of Technology,Hangzhou 310032,China. Xihu branch,Agricultural Bank of China,Hangzhou 310003,China.

【机构】 浙江工业大学经贸管理学院； 中国农业银行杭州市西湖支行；

【摘要】 在竞争日益激烈的今天,售后服务成为展开差异化竞争、实现超额利润的重要手段．为此,企业需要建立高效的售后服务体系,为客户提供优质的售后服务,例如产品维修、升级、配件销售、废品回收等．维修服务中心在企业和客户之间起着重要的桥梁作用．本文提出了一个非线性整数规划模型和混合遗传算法,用于解决维修服务中心的选址问题：并使用文献中的数据,对模型和算法的有效性进行了验证．更多还原

【Abstract】 An important means for companies to differentiate themselves,as well as increase profitability,in highly competitive environments is through the use of service management,i.e.,those activities and interactions which follow a product’s sale.One of the most important service management activities is repair services.And the existence, effectiveness,and efficiency of service management activities,such as repair services,de- pend heavily on effective repair service network.This paper proposes a nonlinear integer programming model and a hybrid genetic algorithms that can solve the location problem of repair services center with reverse logistics.The usefulness of the proposed model and algorithm was validated by its application to a numerical example.更多还原