Research On Simulation And Optimization Of Nylon Plate And Frame Parts FMS Multi-objective Scheduling And Layout Problem

The nylon plate and frame series products used for reducing friction and vibration have the characteristics of simple structure,diverse types and large market demand.They are suitable for the automatic flowshop production.However,due to the lack of scientific and rigorous design process,relevant production line schemes often cannot satisfy the enterprises’ demand.The purpose of this thesis is to design a hybrid-flexible production line suitable for the processing of various types of nylon plate and frame parts,and to further improve production capacity through simulation and optimization analysis of production line layout and scheduling problems.According to the actual production situation,combined with literature data,this thesis builds a hybrid-flexible manufacture production line system(FMS)model,and proposes an improved multi-population NSGA-Ⅱ algorithm combined with simulation technology to integrated optimize the production line layout and scheduling problems,and finally according to the key technology of this article,the integrated system is developed.The research steps and content of this article are as follows:(1)According to the needs of the enterprise,referring to the existing flexible production system plan,combining the hybrid flowshop model,the intelligent logistics system and the flexible equipment,a scheme of the hybrid-flexible production line of nylon plate and frame parts is proposed;The process flow,production line layout and equipment model in the scheme are analyzed in detail.(2)According to the hybrid-flexible production line model of nylon plate and frame parts,the FMS of nylon plate and frame parts was further established in Plant Simulation software;a multi-buffer bidirectional scheduling strategy is proposed,and the superiority of the strategy is verified by simulation.Finally,the hybrid flow shop scheduling problem(HFSP)in FMS model is optimized by using plant simulation built-in genetic algorithm library,and the feasibility of the optimization method is verified.(3)On the basis of the above research,the objective function to reduce energy consumption is further proposed,a multi-objective optimization system with minimum energy consumption and completion time is established,and proposing to use the second generation non-dominant sorting genetic algorithm(NSGA-Ⅱ)to solve the problem;using mixed coding technology to perform integrated coding on FMS scheduling and layout problems,and in view of the premature convergence of traditional genetic algorithms when solving mixed coding problems,multi-population genetic algorithm(MPGA)is proposed to improving population diversity.Then,the mixed coding technology,MPGA and NSGA-Ⅱ are combined,and the multi population NSGA-Ⅱ algorithm is used to solve the scheduling layout multi-objective integrated optimization problem of FMS model.Finally,the algorithm programming is realized by using C++ on VS Code,and the optimization of Plant Simulation model is realized by using socket communication technology.The superiority of this algorithm is verified by comparing with traditional NSGA-Ⅱ.(4)The overall development framework of the FMS simulation optimization system is introduced,and the system is tested by a practical case.