Optimization Approaches And System Development Of Process Routing In Steelmaking-rolling Process

To improve the stability of product quality and reduce the cost of production and logistics are the goals of iron and steel enterprises.Making reasonable production plan and ensuring logistics balance are important means for iron and steel enterprises to carry out integrated production,and the core link of logistics balance is efficient contract plan,among which optimizing the production process path of the contract according to the production line equipment capacity and process constraints are the key to the whole plan.The contract process is the process route.Before production,it needs to integrate process characteristics,contract information,inventory information,logistics information and other factors to develop a feasible process for each contract.When putting into production,each contract needs to select one of the most suitable processes,so that the capacity allocation efficiency of the contract plan is higher.The reasonable planning of contract process and the balanced distribution of contract output according to the capacity of each unit can improve the utilization rate of the unit and reduce the production cost of the enterprise.The process optimization of steel-making and rolling process involves many factors such as production process constraints,steel grades,product quality and production equipment specifications of each production line.Based on the development of the contract planning subsystem in the manufacturing management system of a large domestic iron and steel enterprise,this paper studies the process optimization method of steel-making rolling process.The main work is as follows:(1)Considering the influence of contract process on unit utilization and product quality,a multi-objective process optimization model is established.Considering the two objectives of output balance and product optimal quality requirements,combined with process constraints,unit production specifications constraints and set batch rules constraints,the problem is divided into two categories and a process optimization model without batch planning and based on steelmaking process batch is established.Using the actual production data,the correctness and validity of the model are verified by the solution of CPLEX.(2)Aiming at the large-scale practical problem of considering the process optimization model of steel-making batch planning,combined with the experience of artificial scheduling of background enterprises,a multi-objective simulated annealing algorithm is designed to solve the problem.The correctness and validity of the algorithm are verified by a number of practical cases.The results show that the algorithm can effectively solve practical problems.(3)Based on the research results of process optimization model and algorithm,the function module of process optimization of steel-making and rolling process is developed,and the contract process recommendation system is realized,which takes the contract information to be scheduled as the input and the process optimization result as the output.The system can also count all kinds of KPI indicators,as an auxiliary reference,to plan a better process production route for the contract,reduce the production cost of the enterprise,and improve the integrated production management level of the enterprise.