Research And Development Of Manufacturing Execution System For Bearing Processing Enterprise

As a core means for the digital transformation of manufacturing enterprises,the manufacturing execution system(MES)has surmounted hurdles to workshop-level information management,and it now plays a beneficial role in enterprises’ fine management,quality improvement,and effect enhancement.The bearing processing business is one of our country’s most important and strategic industries.As to many varieties of small batch production mode change of the pattern,dynamic continuous improvement of production process,production process requires the system to provide more efficient dynamic scheduling algorithm,optimization of bearing production and processing process,improve the product processing speed.In order to resolve this issue,small-and medium-sized bearing enterprises as research objectives for developing the bearing enterprise MES with production schedule as a key function is considered in this thesis.Demand analysis and overall MES design are carried out in response to the manufacturing characteristics of small and medium-sized bearing businesses.Starting from the production business process of bearing enterprises,combined with the function model of MES,a bearing enterprise MES function model with dynamic production scheduling optimization algorithm as the core was established.The UML modelling language is used to analyse the functional demands and build up the six core modules,containing order planning,production scheduling,material management,equipment management,data management,and system management of MES,respectively,for functional analysis and modelling.The B/S three-layer framework,Spring Boot technology,and My SQL database are used for the system network framework.In order to enhance the performance of MES on production and operation management and optimization,the dynamic scheduling algorithm in the production scheduling model is deeply studied in this thesis.In order to solve the dynamic scheduling problem of machine fault and machine periodic check in actual machining process,a hybrid rescheduling mechanism based on the combination of periodicity and event-driven was designed.Meanwhile,a mathematical model with the minimum makespan and the minimum rescheduling difference factor as performance indexes is formulated.In order to enhance the ability of the algorithm for dealing with dynamic events,a hybrid genetic algorithm,which combine an adaptive genetic algorithm and tabu search,is proposed in this thesis.Simulation studies are carried out with that considering the dynamic events relevant to the machines might happening real shop.Simulation results show that the suggested hybrid algorithm can use dynamic scheduling requirements of machine failures or regular maintenance during the machining process,in order to ensure the role of the MES system in optimizing the bearing production operations.According to the overall design and specific functional requirements of the MES system,the core modules are designed and implemented in detail.Through the object-oriented design method and the combination of UML modelling and prototype diagram,the background interaction sequence,class static structure,and subordination relationship of the module are designed.The E-R graph of the system database is used to create the core module data table.Using the Java programming language,the system creates MES for bearing companies.Meanwhile,the system’s six fundamental components and operations are being tested.System test results show that the system achieves the expected functional requirements,improves the transparency of the bearing enterprise’s production process,and helps improve the information and digital production management level of the enterprise.