摘要
针对供应链设计中的供应链优化这个关键问题,建立了一个多目标的供应链集成优化模型。该模型将供应链三个层次的优化内容集成在一起进行优化,采用成本、柔性、客户服务水平以及向用户承诺的产品交付时间四个度量指标。针对多目标优化模型,提出了一种改进的多群体遗传算法。最后,利用一个具体实例进行了数值仿真。
The optimization of supply chain is studied. A multi-objective model is constructed, which simultaneously optimizing collaborative enterprises, strategic and operational planning. Moreover, in the model, multi-objective analysis is adopted to allow use of a performance measurement system that includes cost, flexibility, customer service levels and delivery time of products. Furthermore, a improved multi-population pareto genetic algorithm is designed for the model. Finally, the model is illustrated by an example and the simulation result is obtained.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2005年第6期174-180,共7页
Journal of Mechanical Engineering
基金
国家863/CIMS主题基金资助项目(2002AA414060)。
关键词
供应链
多目标
优化
遗传算法
仿真
Supply chain Multi-objective Optimization Genetic algorithm Simulation