基于任务分解结构的供应链合作伙伴优化选择

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。

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

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.