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OALib Journal期刊
ISSN: 2333-9721
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Research into the algorithm of supply chain partner selection and optimization based on the work breakdown structures
基于任务分解结构的供应链合作伙伴优化选择

Keywords: supply chain,partner selection,work breakdown,multi-goal decision-making,self-adaptive genetic algorithm
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,任务分解结构,供应链,合作伙伴优化选择,structures,breakdown,work,based,optimization,partner,selection,supply,chain,algorithm,有效性,算法模型,实例验证,应用,求解方法,遗传,自适应,定量计算,任务完成时间

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Abstract:

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.

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