Optimization Of Injection Shop Scheduling Considering Maintenance And Material Inventory

Nowadays,China is in the process of the fourth industrial revolution.Under the background of intelligent era,intelligent production has become the theme.Injection molding manufacturing,which is subordinate to the manufacturing industry,also needs to improve the production management level to adapt to the trend of industrialization.As an intelligent management method of workshop scheduling,workshop scheduling is an important means to optimize the allocation of existing resources,and it is also related to the fundamental competitiveness of an enterprise in the market.In this paper,considering the two constraints of mold maintenance and material inventory in the injection molding workshop,a mathematical model was established and an optimization algorithm was designed.The performance of the model and algorithm is verified by comparing the experimental results of a numerical example,and it is proved that the model has a good application value when it is used in the injection molding workshop of M Company.Specific research includes the following aspects:(1)Considering the maintenance of machines and molds,establish a minimum time mathematical model with the maximum completion time as the final objective function,and design Jaya’s algorithm to solve this problem,using the reliability interval decision model to organize maintenance work,and the self-defined 3D real number coding and decoding method,population initialization and update mechanism were adopted for design.Finally,the algorithm designed with the example data is experimented,the experimental results show that the algorithm can obtain the optimal solution of the objective function based on the maintenance period of the machine mold and satisfy the production scheduling needs of the workshop.(2)Research on injection molding workshop scheduling considering raw material inventory,calculate the type and quantity of required raw materials according to the bill of materials of products,and design a scheduling algorithm that can prioritize production and complete work orders when the current raw materials can not meet all production.When the algorithm model is established,an appropriate penalty coefficient is given.When the existing stock quantity of raw materials cannot meet the production tasks of some work orders,the penalty cost of unscheduled work orders will be increased,and the maximum completion time and penalty cost minimization are the ultimate objective functions.The experimental comparison of random examples and the performance test considering material inventory are carried out respectively.Compared with the classical genetic algorithm and the classical simulated annealing algorithm,the above part shows that the designed Jaya algorithm has better solving performance,while the latter proves that it can effectively consider the material inventory problem and prioritize the production of work orders,thus achieving ideal results.(3)Combined with the on-site situation of M Company’s injection workshop,the mold maintenance and raw material inventory management were summarized,and the deficiencies in production scheduling management and process flow were pointed out.Collect and sort out the basic production data and customer order data of M Company,and importing them into the algorithm designed in this paper,after analyzing the scheduling scheme obtained from the operation,it shows that the algorithm has better feasibility and superiority when considering the job scheduling problem of two factors: maintenance and material inventory of the machine tools in the workshop.