摘要
JIT管理方式是实施CIMS工程中的一种重要的生产管理方式 ,以消除制造过程中的一切浪费为宗旨 ,消除和降低企业生产经营中的各种浪费 ,降低产品的成本 ,从而给企业带来了巨大的效益。JIT管理方式近来被广泛地应用于企业的生产经营管理中。在JIT生产方式中如何设计最佳的投产顺序计划问题一直是一个难题。在前人研究成果的基础上 ,使用把原有算法和自调整参数遗传算法相结合的混合遗传算法来求解这个问题。仿真结果表明这种算法是行之有效的。
JIT is an important way for a CIMS project. Aiming to eliminate all wastes in the process of manufacture, it is effective to eliminate and reduce all kinds of wastes in production management, and cut down the cost of products, thus bringing the manufacturer to great benefits. So JIT has been widely used during the pastyears. In JIT mode of production, it is a difficult problem on how to design the optimal sequence. In this paper, Blended genetic algorithms (BGA) combining the proximal solution with genetic algorithms (GA) is used to solve the problem. The simulations show that the BGA is effective.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2002年第9期50-52,93,共4页
Systems Engineering and Electronics
基金
厦门大学工科专项经费资助课题 (3 0 0 3 )
