Research On ERP Work Order Flow Model And Its Implementation Technology

With the continuous development of the informatization process,many discrete manufacturing enterprises have begun to use ERP(Enterprise Resource Planning)system for production management,but due to the complex and changeable production process of small discrete manufacturing enterprises,it is difficult to improve the information management level of enterprises because of the poor match with the mainstream ERP software on the market.Therefore,the development of an ERP work order flow system for discrete manufacturing enterprises with low production scheduling efficiency is an urgent problem for enterprises to solve.In order to solve the above problems,this thesis designs and implements an ERP work order flow model to develop an ERP work order flow system by combining the actual needs of enterprises.The main innovations of this thesis are as follows:(1)For the needs of production scheduling,flexible adjustment of production process and real-time query of production information,this thesis designs an ERP work order flow model,which mainly includes process configuration,production scheduling,work order management,work order flow control engine,work order splitting and merging and flow process monitoring modules.The work order flow control engine is designed to control the flow of work orders,and realize the synchronization of production information during the flow process;for the demand of flexible adjustment of production process,the work order splitting and merging technology is proposed to improve the flexibility of production process and thus improve the equipment utilization and production efficiency;for the demand of real-time query of production information,the real-time monitoring of the flow process is realized to provide data support to the management staff.(2)Production scheduling is an important functional module of the ERP work order flow model.Aiming at the problem of low production efficiency caused by relying on manual experience for production scheduling,this thesis proposes an improved grey wolf optimizer(Improved Grey Wolf Optimizer,IGWO)to improve production scheduling efficiency.The grey wolf optimizer(Grey Wolf Optimizer,GWO)is improved by adding nonlinear convergence factor and introducing uniform crossover operation to solve the problem that the global and local search capabilities of the algorithm are unbalanced,and it is easy to fall into the local optimal solution.The experimental results on benchmark examples and actual production data show that the IGWO algorithm is feasible and effective for solving the production scheduling problem.Finally,the IGWO algorithm is applied to the model to realize the optimization of production scheduling,reduce the idle time of equipment,and improve the production efficiency of the enterprise.In this thesis,frameworks such as Spring Boot and Vue are used to implement the model to develop a system.The system has been running stably for about a year since it was launched,which meets the specific needs of the enterprise,improves the production scheduling efficiency of the enterprise,and improves the management level of the enterprise.