Research On Flexible Job Shop Scheduling Problem In Building Materials Equipment Manufacturing Enterprise

Building materials equipment manufacturing enterprise is an important branch of equipment manufacturing industry.In recent years,it is facing great challenges while developing rapidly.Such as the significant increase in production costs,the need for resource utilization and sustainable development,and green manufacturing.Reducing the energy consumption in the manufacturing process of building materials equipment manufacturing enterprises is a powerful measure to reduce the production cost of enterprises and realize green manufacturing.Building materials equipment manufacturing enterprises have long product production cycle,high energy consumption,and complex product processes,all of which pose challenges to the production management and resource allocation of enterprises.Based on this,this dissertation takes building materials equipment manufacturing enterprises as the research object,carries out the research on flexible job-shop scheduling for building materials equipment manufacturing enterprises,to maximize the rational allocation of production resources,reduce resource waste in the production process,achieve faster and better production and improve the competitiveness of the market.The main research contents of this dissertation include:(1)Based on the analysis of current research status of flexible job-shop scheduling at home and abroad,combined with the actual enterprise engineering,the production process and production scheduling process of building materials equipment manufacturing enterprises are sorted out and analyzed,and the main problems existing in the current production scheduling are analyzed,so as to propose the main research content of this dissertation.(2)In view of the long production cycle of building materials equipment manufacturing enterprises,a flexible job-shop scheduling model is established to minimize the completion time as the optimization objective,and an improved particle swarm optimization algorithm is designed to solve the model.The specific improvement strategies include: Use mixed initialization rules to improve the quality of the initial population,update the population through the crossover and mutation strategy of individual positions,and design a neighborhood search operation based on process sequence and machine selection to enhance the neighborhood search ability of the algorithm.And carried out the comparison of experiments and examples to verify the effectiveness of the model and method.(3)On the basis of considering the maximum completion time indicator,the machine energy consumption and the maximum machine load are introduced to realize the greening of production scheduling,and a flexible job-shop multi-objective scheduling problem model is established to minimize the completion time,total machine energy consumption and maximum machine load.A hybrid algorithm using discrete particle swarm optimization for global search and simulated annealing for local search is proposed to solve the model,and a comparison study is carried out with a standard example and a building materials equipment manufacturing enterprise.(4)Combined with the specific enterprise application background,the production scheduling system for building materials equipment manufacturing enterprises is designed and developed,and the demand analysis and functional architecture design of the system are introduced in detail,and the production scheduling management module is taken as an example to introduce the specific application.and effect analysis.The dissertation concludes with a summary and prospect of the work.