云制造环境下复杂加工任务供应商选择问题研究  

Research on the Selection Strategy of Complex Processing Suppliers in Cloud Manufacturing

作　　者：余义[1] 吴价宝[2] 陈婷[1] 

机构地区：[1]江苏科技大学经济管理学院,江苏镇江212003 [2]淮海工学院商学院,江苏连云港222005

出　　处：《淮海工学院学报（自然科学版）》2017年第1期60-65,共6页Journal of Huaihai Institute of Technology:Natural Sciences Edition

基　　金：国家自然科学基金资助项目(71271105)

摘　　要：云制造环境下,用户的服务请求日趋复杂化、个性化.针对该特性,如何在云制造环境下对供应商进行加工任务组合就显得尤为重要.考虑各企业加工时间、企业间物流时间、加工成本、企业间物流成本、产品合格率、服务领先性、历史评价得分等属性,建立了多属性拍卖模型.同时根据不同客户偏好,通过层次分析法求出各属性权重,给出各服务方案的得分函数.最后通过给出算例,结合优化的粒子群算法对该模型进行求解,确定合作供应商,从而证明了该模型的有效性和实用性.The request of users is becoming increasingly complex and personalized in the environ-ment of cloud manufacturing. According to this feature, i t is particularly important as how to make a combination of processing tasks in the cloud manufacturing environment. Considering the various enterprises processing time, logistics time between enterprises, logistics cost and logistics costs between enterprises,product qualification rate, the score of advanced lever, historical re-mark multi-attribute auction model is established. Attr ibute weights are got according to the dif-ferent customer preferences through the analytic hierarchy process （A H P ） and then the score function service schemes are presented. A numerical example is given, in which the model is solved, the cooperation suppliers are determined, the validity and practicability of the model is proved by optimizing the particle swarm algorithm.

关 键 词：云制造 云服务提供者(CSP) 多属性拍卖 层次分析法(AHP) 粒子群优化算法 

分 类 号：F270.5[经济管理—企业管理] TP391.7[经济管理—国民经济]