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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％.