| Once the idea of artificial intelligence has been proposed,changes have taken place in all walks of life.A series of derivative words such as smart factories and smart manufacturing have been proposed in the manufacturing industry.In particular,the concept of smart manufacturing has been focused on and developed.Intelligent manufacturing can partially replace human brain labor in the manufacturing process,making production intelligent,efficient,and personalized,which is the development trend of manufacturing in the future.Therefore,companies want to stand out from the competition and gain an advantage.They urgently need to adapt to multi-variety and small-batch production models,improve their ability to respond to changing markets in a timely manner,and deal with emergencies in production in a timely manner.For example,frequent disturbance events contain urgent order insertion,equipment failure,employee absenteeism,and raw material missed work.To solve the above problems,manufacturing enterprises urgently need a shop-level scheduling management system.Therefore,flexible workshop scheduling has become a hot topic in the manufacturing industry.In this paper,the research on flexible job shop scheduling for intelligent manufacturing is divided into two types: static scheduling and dynamic scheduling.A novel hybrid optimization genetic algorithm is proposed when studying static scheduling.The classic genetic algorithm has the characteristics of strong global search ability and poor local search ability.Therefore,a variable neighborhood search algorithm is incorporated to make up for the shortcomings of the local search ability of the genetic algorithm.The idea of population segmentation,optimal memory strategy,and more crossover operators and mutation operators is introduced,which can further improve the solution quality of the algorithm.Finally,through the verification of standard examples,it is concluded that the algorithm is feasible and effective,and has the same or even better solution performance than other algorithms.When studying the dynamic scheduling problem,according to the actual production needs,a hybrid rescheduling mechanism based on cycle-driven and event-driven is adopted,considering the two common disturbance events of urgent order insertion and equipment failure.With the new hybrid optimization genetic algorithm in static scheduling,a rescheduling scheme is proposed.Based on the characteristics of the two cases,different performance indicators and objective functions are selected.The scheme is simulated through standard examples.The final results show that the drive rescheduling part based on the period can balance the equipment load and improve the manufacturing efficiency of the flexible production workshop.The event-driven rescheduling part can re-plan the process route reasonably for emergencies and equipment failure.Compared with the results without rescheduling,the event-driven rescheduling shows that rescheduling can save production time and speed up production.Therefore,this scheme is feasible and effective,and has certain research value and practical significance. |
