Research And Development Of Intelligent Scheduling System For Discrete Workshops Based On Multi-resource Constraints

With the in-depth application of computer technology and intelligent algorithms in the manufacturing field,the demand for intelligent production scheduling systems in discrete manufacturing workshops is increasing day by day.A set of intelligent production scheduling systems that are reasonably designed and can operate efficiently can improve the production efficiency of discrete workshops to a certain extent.production capacity.Based on the background of a company that produces curtain wall-related products,this paper designs a prototype system that is suitable for discrete workshops and focuses on intelligent scheduling functions.The specific content is as follows:(1)Taking a company that produces curtain wall products as the background,explain the relevant theories and methods of production scheduling in discrete workshops for curtain wall products under the constraints of multiple resources.Analyze the order characteristics and production resource constraints of curtain wall products,design the overall production scheduling framework,and introduce the standard COOT algorithm,multi-objective optimization theory and worker load theory.(2)Design a static production scheduling model for the multi-resource constraints of discrete workshops.In the static production scheduling model,the constraints of equipment,workers,and tooling resources are considered,and the impact of worker load on processing time in high-load discrete production processes is considered to minimize the maximum completion time,total machine load,and power consumption.In order to optimize the target,a static production scheduling model is established.(3)Design the solution algorithm MOCOOT-SA(Multi-objective COOT-Simulated Annealing)of production scheduling model.By introducing the concept of archive set and Pareto solution,the original single-objective COOT algorithm is optimized into a multiobjective algorithm,and a new neighborhood structure and update method are selected for specific individuals,and then the SA algorithm is integrated to optimize local search ability and convergence speed.The improved COOT algorithm is compared with other algorithms by selecting the appropriate encoding and decoding methods and benchmark scheduling examples.(4)For the production disturbance events often encountered in discrete workshops,a dynamic rearrangement scheme is designed on the basis of the static production scheduling scheme.In the dynamic rearrangement model,four types of disturbance events are considered,including rework of defective products,sudden machine failure,sudden departure of workers,and sudden order addition,and different dynamic rearrangement mechanisms and optimization goals are designed according to event types and optimization requirements.At the same time,the effectiveness of the MOCOOT-SA algorithm in dealing with production scheduling problems is further verified.(5)The design is based on the production scheduling system of the discrete production workshop of curtain wall products.Developed a prototype system with intelligent scheduling function as the core,using the BS system architecture,including five modules: user management,manufacturing resource management,order management,product information management,and workshop scheduling optimization,to generate suitable production scheduling for a company plan.