Research And Application Of APS Model Based On Available Capacity In Iron And Steel Industry

Under the background of the transformation of global industrial intelligent manufacturing,the iron and steel industry needs to develop in the direction of digitalization and intelligence.At present,orders of iron and steel enterprises are characterized by small batch,personalized and diversified.In order to better meet the customized demand of orders and improve the competitiveness of enterprises,steel production mode is gradually changing from Make-to-Stock(MTS)to mixed production mode co-existing with Make-to-Order(MTO).This increases the complexity of steel production scheduling.In order to improve the production planning capacity of enterprises,a multi-objective constrained programming APS model based on available production capacity and an improved genetic algorithm based on NSGA-II are proposed in this paper.The advanced production planning and scheduling system for iron and steel industry has been designed and implemented.The specific work is as follows:1)Iron and steel production is characterized by numerous processes and diverse products.Production capacity,target strategy,production constraints and other factors should be considered comprehensively.In this paper,a multi-objective constrained programming APS model for steel production based on available capacity is established by using the constrained programming method.The model aims to minimize the order delay rate,equipment unutilization and inventory,and fully combines the actual production constraints.The production scheduling problem is abstracted into the scheduling problem of N orders on M processes in T planning period under the condition of limited production capacity.2)The traditional mathematical method to solve the problem of production planning and scheduling has limitations.This paper presents an improved genetic algorithm based on NSGA-II.The global optimal solution is obtained by local search method,and then the production scheduling optimization scheme is obtained.Through the actual production data verification,the production target value is significantly improved by using this scheme.3)Analyze the data demand in the steel production process and out a complete factory data model.It includes enterprise resource data,product data,order data,scheduling data and so on.The data is stored structurally in persistent database to realize its extensibility and configurability,so as to facilitate the management and control of the production process.4)Analyzed the demand of steel production planning and scheduling system,designed the system in general,and realized the corresponding function modules.Based on production resource attributes and constraint configuration information,the system realizes production scheduling according to order related data.It also supports early warning of deferred orders,tracking the production process of orders and saving the load state of production equipment.Finally,the stability and availability of the system are verified by functional and performance tests.