Multidisciplinary design optimization for air-condition production system based on multi-agent technique  

作　　者：杨海东 鄂加强 屈挺 

机构地区：[1]Department of Mechatronics Engineering,Guangdong University of Technology [2]College of Mechanical and Vehicle Engineering,Hunan University

出　　处：《Journal of Central South University》2012年第2期527-536,共10页中南大学学报（英文版）

基　　金：Project(60973132)supported by the National Natural Science Foundation of China;Project(2010B050400005)supported by the Science and Research Program of Guangdong Province,China

摘　　要：In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on the multi-agent technology. Local operation models for departments of plan, marketing, sales, purchasing, as well as production and warehouse are formulated into individual agents, and their respective local objectives are collectively formulated into a multi-objective optimization problem. Considering the coupling effects among the correlated agents, the optimization process is carried out based on self-adaptive chaos immune optimization algorithm with mutative scale. The numerical results indicate that the proposed multi-agent optimization model truly reflects the actual situations of the air-condition production system. The proposed multi-agent based multidisciplinary design optimization method can help companies enhance their income ratio and profit by about 33% and 36%, respectively, and reduce the total cost by about 1.8%.In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on the multi-agent technology. Local operation models for departments of plan, marketing, sales, purchasing, as well as production and warehouse are formulated into individual agents, and their respective local objectives are collectively formulated into a multi-objective optimization problem. Considering the coupling effects among the correlated agents, the optimization process is carried out based on self-adaptive chaos immune optimization algorithm with mutative scale. The numerical results indicate that the proposed multi-agent optimization model truly reflects the actual situations of the air-condition production system. The proposed multi-agent based multidisciplinary design optimization method can help companies enhance their income ratio and profit by about 33% and 36%, respectively, and reduce the total cost by about 1.8%.

关 键 词：multi-agent system production operation multidisciplinary optimization self-adaptive chaos optimization immune optimization algorithm 

分 类 号：TB114.2[理学—运筹学与控制论] O221.6[理学—概率论与数理统计]