摘要
集团分布式制造企业往往存在着地理位置不集中、制造资源和制造能力不均衡、资源闲置与资源短缺并存等问题,针对集团制造企业在制造资源配置过程中多主体、多任务、多资源、多工序以及协同性的特点,从集团公司总体利益及下属企业个体利益多角度出发,综合考虑生产成本、加工资源、加工效率等多个因素,建立集团分布式制造资源配置优化模型,并采用基于Logistic混沌改进的遗传算法求解该模型的Pareto最优解.最后对国内某建材装备集团的制造资源配置过程进行算例分析,以验证模型和算法的有效性.
There are some problems in group distributed manufacturing enterprises,such as the scatter of geographically location,the mismatching of manufacturing resources and abilities,the coexistence of resources idle and shortage etc.Based on the characteristics of multi-agent,multi-task,multi-resource,multi-process and co-ordination in the process of manufacturing resource allocation,the optimal model of distributed manufacturing resource allocation is proposed to balance the overall interests of the group and the individual interests of the sub-ordinate enterprises.An improved genetic algorithm based on Logistic chaos is designed to obtain the Pareto optimal solution of the model.Finally,an example with its analysis is given to demonstrate the effectiveness of the proposed model and algorithm.
作者
李益兵
宋东林
王磊
LI Yi-bing;SONG Dong-lin;WANG Lei(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China;Hubei Digital Manufacturing Key Laboratory,Wuhan University of Technology,Wuhan 430070,China)
出处
《控制与决策》
EI
CSCD
北大核心
2019年第6期1178-1186,共9页
Control and Decision
基金
国家自然科学基金项目(71171154)
中央高校基本科研业务费专项资金项目(2017II27GX)
关键词
集团分布式制造
工序级资源配置
混沌改进
遗传算法
多目标优化
PARETO最优
group distributed manufacturing
process-level resources allocation
chaos-improved algorithm
genetic algorithm
multi-objective optimization
Pareto optimal solution
作者简介
通讯作者:王磊.E-mail:wanglei9455@126.com.
