Study On Cost-oriented Simulation And Optimization Of Resource Allocation Of Machining Line

With the rapid development of China’s high-speed rail technology,the total mileage of domestic high-speed rail exceeds 35,000 kilometers,the high-speed rail "four vertical and four horizontal" network has been successfully completed,and the demand for high-speed EMUs has been eased.Various locomotive manufacturers want to improve their benefits;the unreasonable resource allocation of the frame of bogie processing workshop severely restricts the reduction of manufacturing costs.This problem also exists in other machinery manufacturing enterprises.Therefore,the optimization of the resource allocation of mechanical processing lines has become an urgent need for enterprises.In the case of fixed production line processing equipment and unchanged processing sequence,with the goal of reducing manufacturing costs,the simulation optimization method was used to optimize its production batch,production sequence,buffer capacity,and number of workers of work teams.The main research contents are as follows:(1)Combined with the characteristics of the frame processing line and the literature,a large-scale parts machining line is defined.Considering the production batch,production sequence,buffer capacity and number of workers in the machining line,a machining line resource for manufacturing costs is proposed.The problem of configuration optimization has established a manufacturing cost analysis model of the machining line,which is used to estimate the manufacturing cost as the main indicator for evaluating resource allocation schemes.(2)The cost-oriented simulation and optimization method for resource allocation of machining lines is studied.The discrete manufacturing system modeling and simulation technology is used to establish a machining line simulation model,and then an orthogonal test is designed based on the simulation model.Based on the test results,resource factor sensitivity and interaction analysis are performed to evaluate the importance of the factors.Finally,the genetic algorithm is used to obtain the optimal solution of resource allocation scheme.(3)Taking the frame processing line as the research object,verify the feasibility and effectiveness of the above simulation optimization method.First of all,investigate and analyze the situation of the frame processing line and put forward the problems of resource allocation,then establish the 3D model of the production line and collect the production data.Then built the simulation model of the frame processing line based on Plant Simulation,then determine the credibility of the simulation model by correlation coefficient detection method.So we can make the right decision based on the simulation model.(4)Optimizing the configuration of frame processing line resources through orthogonal test design and genetic algorithm.A multi-factor multi-level orthogonal experiment was designed with manufacturing cost as the index.The sensitivity and interaction of batch size,buffer capacity,and number of workers of the work teams were analyzed,which provided an important basis for resource allocation optimization.Based on the conclusion of orthogonal experiment,with the aim of minimizing manufacturing cost,genetic algorithm is used to solve the optimal resource allocation schemes.The effectiveness of the optimization scheme is verified through simulation comparison.