设备负载均衡的制造资源优化配置方法  

Manufacturing Resources Optimal Allocation Method of the Equipment Load Balancing

作　　者：范泽兵[1] 李山[1] 陈冰[1] 杨挺[1] 

机构地区：[1]西北工业大学现代设计与集成制造教育部重点实验室,陕西西安710072

出　　处：《机械设计与制造》2013年第8期113-116,共4页Machinery Design & Manufacture

基　　金：863项目-企业级可视化制造资源智能获取与集成应用技术(2009AA04Z122);国家863计划云制造服务平台关键技术主题项目(2011AA040602);国家自然科学基金资助项目(61104169);高等学校博士学科点专项科研基金(2010610212002)

摘　　要：为了解决航空复杂产品混线生产中设备负载不均衡引起的资源配置不合理问题,文章根据工艺规划和设备对生产线制造资源优化配置问题进行描述,构建满足工序需求的设备可选集,采用模糊聚类方法对设备可选集中设备进行排序。以设备负载率的方差为优化目标,提出基于免疫遗传算法(IGA)的制造资源优化配置方法,实现了生产线设备的负载均衡,降低了生产线的运行成本。结合实例并与遗传算法(GA)进行对比,证明了该方法在制造资源配置过程中能获得更加均衡的设备负载。In order to solve the problem of the irrational allocation of resources in complex product lines caused by equipment load distribution imbalance,a mathematic description of manufacturing resource allocation is made according to the process planning and equipments,and equipments optional sets are constructed to meet the process needs,and finally fuzzy clustering method is adopted to sequence the optional equipments.Aimed at the optimization of equipment load rate variance,the achievement of equipment load balance and the alleviation of running cost,manufacturing resources optimize allocation method based on immune genetic algorithm（IGA）is proposed.Making a contrast with immune genetic algorithm（IGA）in numerical experiment,the algorithm proposed here performs better in achieving the balance of load distribution in the process of optimal allocation of manufacturing resource.

关 键 词：设备负载均衡 可选设备集 免疫遗传算法 制造资源优化配置 

分 类 号：TH6[机械工程—机械制造及自动化] TP391.7[自动化与计算机技术—计算机应用技术]