多代理敏捷制造车间动态模糊重构技术实证  

Empirical study on dynamic fuzzy reconfiguration technology for multi-agent-based agile job shop

作　　者：张铭华[1] 贾卫峰[1] 

机构地区：[1]西安邮电大学管理工程学院,陕西西安710061

出　　处：《暨南大学学报（自然科学与医学版）》2013年第5期452-456,共5页Journal of Jinan University(Natural Science & Medicine Edition)

基　　金：国家自然科学基金项目(71102149);工信部通信软科学研究项目(2013R01-2);教育部人文社会科学研究项目(12YJC790084);陕西省教育厅专项科研计划资助项目(12JK0056);西安邮电大学青年教师科研基金项目(ZL2011-22)

摘　　要：为了满足现代制造业的敏捷性要求,面向敏捷车间的动态重构方案设计开发,构建基于多代理系统的敏捷制造车间动态重构框架,开发有效的动态模糊重构技术.基于文献述评,提出自上至下以及自下至上相结合的动态重构思想,分析动态重构的内涵及特征,建立融入模糊理论的车间动态重构综合满意度函数.接着,利用协同演化遗传算法求得面向多项工作任务的车间资源重组全局优化解,结合聚类分析法作出敏捷车间动态重构的最满意决策.最后提供陕西装备制造业的重构实例,验证了上述重构方法的有效性及可行性.In order to meet agility of modem manufacturing industry, dynamic reconfiguration frame- work of agile workshop was built based on multi-agent system, and effective dynamic fuzzy reconfiguration technology was also developed, facing dynamic reconfignration project design and development in agile workshop. Based on literature review, dynamic reconfignration thought was proposed, combined with top- down and bottom-up analysis. Connotations and characteristics of dynamic reconfignration were analyzed. Then, with integration of fuzzy theory, comprehensive satisfaction degree function of dynamic reconfignra- tion was established. Facing multi-job, overall optimization solution of workshop resources reorganization was acquired by co-evolution genetic algorithm. The most satisfied dynamic reconfignration decision was accordingly made for agile workshop, combined with clustering analysis method. Finally, numerical ex- ample in Shaanxi equipment manufacturing industry was provided to test validity and feasibility of above- mentioned reconfiguration technology.

关 键 词：敏捷制造 车间 动态模糊重构 多代理系统 协同演化遗传算法 聚类分析 

分 类 号：TH166[机械工程—机械制造及自动化] TP18[自动化与计算机技术—控制理论与控制工程]