Design And Application Of Automobile Generator Production Management System Based On MES System

Under the background of the development of manufacturing informatization,in order to solve the problems existing in production management,such as the uncertainty of product tasks and processes,the uncertainty of working hours and manufacturing data,the opacity of production process and the lag of management mode,enterprises vigorously build MES manufacturing execution system.MES is a manufacturing control system based on information technology,which can realize the data collaborative work of technical preparation,production scheduling,product processing,resource control and other departments in the production process,improve the production efficiency of the workshop and the market competitiveness of the enterprise,and promote the rapid development of the enterprise.According to the characteristics of JNR’s generator production line,this paper proposes a MES system solution and system integration scheme for the generator production line.Based on the B/S architecture operation mode and C# programming language,a set of MES system suitable for discrete assembly line manufacturing enterprises is studied and designed.The production scheduling algorithm solves the problems of management difficulties and data opacity,and realizes the lean,efficient and data visualization management of the enterprise production process.The main work includes:(1)Master the technological process of the generator production line,and investigate the problems existing in the production process of the production line,such as scheduling difficulties,unreasonable personnel control,and lagging data acquisition.To understand the functional and non-functional requirements of the MES system proposed by the enterprise to solve the production management difficulties,and explain the technical requirements of the RFID data acquisition and information management theory involved in the design system.(2)After investigating the system design requirements of the current situation of enterprise production management,the basic requirements and functions of enterprise MES implementation are mastered.Combined with the knowledge of production management system,the overall architecture and business process of enterprise MES system are arranged,and the overall logical architecture,network architecture and functional structure of JNR’s automobile generator production line MES system are completed.(3)The detailed design of manufacturing MES system,including the production scheduling management,quality management,equipment management system function module of business process design;the conceptual structure and logical structure of the database are designed to ensure that the production data is recorded in the database in real time,completely and effectively.The integration of ERP and MES system in the implementation of generator production line information is analyzed,and the integrated network diagram and interaction model of the system are established to realize the information integration between the two systems.(4)Aiming at the scheduling problem of generator production line,the adaptive crossover and mutation probability functions are proposed,and the basic genetic algorithm is improved.The two algorithms are compared through simulation experiments,which verifies the feasibility of the improved genetic algorithm to solve the scheduling problem.(5)The MES system of automobile generator production line is deployed to realize the application of basic data management,visualization,production process management,production scheduling management,quality management,equipment management and other functional modules.(6)Conduct specific tests on the functionality,safety,and operability of the MES system of the generator production line in application to confirm that it meets the production requirements of the enterprise.The application of MES system provides advanced means for JNR company to manage the manufacturing process,open up the information channels between various production departments,personnel and equipment,realize data integration and sharing,make decision-making departments accurately formulate solutions,improve the quality and efficiency of engine production,and complete the task of information transformation.