摘要
为改进创新产品的供应链绩效,供应链中解耦点的战略定位很关键.运用M/M/1排队理论,建立一种订单履行时间约束下最小化阶段总成本的优化模型,并利用遗传算法进行仿真分析,得到创新产品供应链的最优解耦点的战略选择及其影响因素.为高科技、时装等产品的供应链战略设计提供理论依据.
In order to improve the supply chain performance in an innovative product supply chain, it is key important for supply chain design to discuss the strategic positioning of decoupling point. By M/M/1 queues theory, a model on minimizing the sum cost of every state in the supply chain subiect to a servicelevel constraint was proposed so that an optimal decoupling point can be acquired. To resolve the model, a genetic algorithm was used to simulate and describe the impact of relevant parameters. Some management insights were concluded for the strategic supply chain design of some innovative products such as hi-tech products and fashion goods.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2008年第11期1832-1835,共4页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(70572103)
关键词
创新产品供应链
最优解耦点
有限位相型分布
遗传算法
innovative products supply chain
optimal decoupling point
PH-distribution
genetic algorithm