Research On Flow Shop Scheduling Of M Company Regulator Considering Machine Preventive Maintenance

With the rapid development of China’s social economy and technological strength,the automation level of manufacturing production is getting higher and higher,and manufacturing production depends more on machines rather than labor.Therefore,reasonable preventive maintenance of machines has become crucial.At the same time,reasonable preventive maintenance of machines requires advanced production scheduling technology to ensure that maintenance work does not affect normal production activities,which is also the core research content of advanced manufacturing methods.Firstly,this thesis analyzes the current research status of M company regulator production scheduling and the research status of machine preventive maintenance,and proposes the research idea of M company regulator production scheduling considering machine preventive maintenance.The preventive maintenance of the machine considers the machine state transition process,and the state transition process obeys the Markov process.Secondly,this paper constructs two optimization models: one is to solve the optimal machine preventive maintenance threshold with maintenance cost as the optimization goal,and the other is to solve the optimal scheduling sequence of batches of workpieces with the optimization goal of minimizing the maximum completion time.Optimize the model.Thirdly,this paper solves the model.The solution process uses a simulation-based adaptive differential evolution algorithm designed according to the random process of machine state degradation.Finally,this paper collects relevant data on production scheduling and preventive maintenance of M company,and uses MATLAB program to simulate and analyze the model.The research conclusions of this paper are:(1)In the process of M company regulator flow shop scheduling,the preventive maintenance of the machine has been taken into account to achieve a relatively good improvement effect.Compared with the original fixed-period preventive maintenance cost of M Company,the maintenance cost obtained by the condition-based preventive maintenance strategy saves 28,850 yuan,a saving percentage of 73.97%,and the optimized production cost saves 9481.5 yuan,a saving percentage of 16.12%,The total cost including maintenance cost and production cost was saved 38331.5 yuan,and the percentage of savings was 39.1%.(2)According to the simulation-based adaptive differential evolution algorithm to obtain the optimal preventive maintenance threshold to arrange production scheduling,the completion time obtained by considering the optimal scheduling sequence of machine preventive maintenance is reduced to 109.6 hours compared with the original,and the efficiency is improved by 16.32 %.The data results prove that this research has a certain practical significance for improving the reasonable preventive maintenance level of China’s manufacturing machinery and production scheduling technology.The paper has 16 figures,14 tables,and 82 references.