Design And Implementation Of Flexible Workshop Production Scheduling System Based On Microservice

In the industrial Internet era,the demand of manufacturing enterprises for efficiency improvement is growing day by day.In face of fierce market competition,enterprises which quickly respond to changes in production demand often have greater flexibility.How to make production plans quickly and elastically in response to changing production demands,reduce inventory accumulation,save various costs of enterprise production,to achieve the cost reduction and efficiency increase goal under various constraints is a problem worth studying.At present,most enterprises lack scientific overall planning in the process of workshop production,and have not formed a systematic scheduling plan.Therefore,the Job Shop Scheduling Problem(JSSP),which is the core of the scheduling system,has also attracted the research of many scholars.Branch and definition methods,neighborhood search,and hill-climbing algorithms have been proposed and applied to workshop scheduling.However,when faced with complex calculations,this kind of algorithm is too slow and easy to fall into the local optimal solution in the complex constraint scenarios.In addition,traditional workshop scheduling systems are often designed and implemented using monomer architecture and anemia model,which have great limitations in such scenarios as workshop scheduling.Not only is it poor resilient in development and operation,but there are many deficiencies in indicators such as performance,safety and availability.Under this background,this paper models the relevant constraints of an auto parts workshop and optimized based on the simulated annealing algorithm in the classical Meta-Heuristics algorithm,so that it tends to the global optimal solution and has good convergence performance.Besides,combined with message queue and other technologies to sense the completion of tasks in real time,dynamic response secondary scheduling is implemented based on deviation,which not only saves the inventory time before the secondary scheduling,but also dynamically optimizes the scheduling plan when deviation needs attention,making it more flexible at the algorithm level.In terms of software architecture,this paper upgrades and improves the traditional scheduling system by combining Spring Cloud Alibaba,Message Queuing and other components in the micro-service architecture,split up the micro-service and gives solutions for the rapid deployment of micro-service gateway,distributed transactions,full-link monitoring and containerization.The solution improves service throughput and availability,and is easier to deploy and more flexible in engineering.With optimization of algorithm and engineering,the flexible scheduling system can meet the predetermined needs and objectives through verification and testing,which provides certain reference for the industry.