基于任务分解结构的供应链合作伙伴优化选择  

Research into the algorithm of supply chain partner selection and optimization based on the work breakdown structures

作　　者：王剑[1] 李山[2] 董雪静[1] 

机构地区：[1]西安电子科技大学经济管理学院,陕西西安710071 [2]西北工业大学现代设计与集成制造技术教育部重点实验室,陕西西安710072

出　　处：《计算机应用》2007年第4期1006-1008,1012,共4页journal of Computer Applications

基　　金：十五国防基础科研资助项目(K0504020512);航空科学基金资助项目(05H53080)

摘　　要：为实现虚拟企业供应链构建中的多目标合作伙伴优化选择,根据任务完成的交货期、质量、成本和服务四个评价指标,利用总任务下各评价指标的权重以及在每个评价指标下各子任务之间的关联特性,建立了基于任务分解结构的供应链伙伴选择多目标决策模型。基于该模型实现了分解任务完成时间的定量计算,给出了基于自适应遗传算法模型求解方法,并应用实例验证了该模型和算法的有效性。A multi-objectlve model of decision-making for partner selection and optimization in supply chain based on work breakdown structures was proposed, which took the factors of due date, quality, cost and service as evaluation indicators. The weight of each factor under the main task and the correlation of each sub-task were considered, and quantitative calculation of the time spent on task based on the model was made. An example with a self-adaptive genetic algorithm solution was included to demonstrate the validity of the model and algorithm.

关 键 词：供应链 合作伙伴选择 任务分解 多目标决策 自适应遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]