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dc.contributor.author蔡志峰zh_CN
dc.contributor.author李萍zh_CN
dc.contributor.author张阿卜zh_CN
dc.date.accessioned2011-04-26T08:23:32Z
dc.date.available2011-04-26T08:23:32Z
dc.date.issued2002-09zh_CN
dc.identifier.citation系统工程与电子技术,2002(9):50-52,93zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/8393
dc.description.abstract中文摘要:J IT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。J IT 管理方式近来被广 泛地应用于企业的生产经营管理中。在J IT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。 英文摘要:J IT is an important way for a CIMS project. Aiming to eliminate all wastes in the process of manufacture , it is effec2 tive to eliminate and reduce all kinds of wastes in production management , and cut down the cost of products , thus bringing the manu2 facturer to great benefits. So J IT has been widely used during the pastyears. In J IT 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.zh_CN
dc.description.sponsorship厦门大学工科专项经费资助课题(3003)zh_CN
dc.language.isozhzh_CN
dc.publisher《系统工程与电子技术》zh_CN
dc.relation.ispartofseries10012506X(2002) 0920050203zh_CN
dc.subject混合遗传算法zh_CN
dc.subject准时生产zh_CN
dc.subject计算机集成制造系统zh_CN
dc.subjectBlended genetic algorithmzh_CN
dc.subjectJust in timezh_CN
dc.subjectCIMSzh_CN
dc.title基于混合遗传算法的JIT 投产顺序计划研究zh_CN
dc.title.alternativeJIT Production Sequencing Based on Blended Genetic Algorithmszh_CN
dc.typeArticlezh_CN


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