以便在设以空气调节装置生产工业保证多重部门的全面生产表演,为生产系统的多学科的设计优化模型基于多代理人技术被建立。本地操作为计划的部门当模特儿,出售,出售,购买,以及生产和仓库被提出进单个代理人,并且他们的各自的本地目的一起被提出进一个多客观的优化问题。就在相关代理人之中的联合效果而言,优化过程与变化规模基于自我适应的混乱免疫者优化算法被执行。数字结果显示建议多代理人优化模型真正反映设以空气调节装置生产系统的实际状况。建议多代理人基于罐头帮助公司提高他们的收入比率并且分别地,在大约 33% 和 36% 获利并且在大约 1.8% 减少全部的费用的多学科的设计优化方法。
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%.