The Scheduling For Hot-Chain Logistics And Energy In Iron And Steel Industry

Energy shortage is a universality question in the economic evolution of countries all over the world. Since iron and steel industry is a high-energy consumption industry, energy-saving in iron and steel enterprises becomes the key technical problem to be faced. In general, enterprises achieve energy-saving purposes mainly through process improvement, enhancing the level of automation operation, management and technical upgrading. Furthermore, the management of technology can be divided into two types:one is through a direct approach to optimize energy allocation while the other is through indirect means to optimize energy-saving hot-chain logistics scheduling.Based on the background of a large steelmaking plant in China, this thesis makes a study of the two energy-saving approaches which are the energy distribution and logistics scheduling problems in iron and steel enterprises respectively. The optimization of energy distribution is mainly based on different kinds of energy medium demands of iron and steel production processes, the energy medium production and the optimal distribution plan which is decided by supply. The main purpose is to raise the utilization rate of energy medium. The logistics scheduling problem mainly studies on when to handle the ladle with high temperature molten steel. The purpose of the scheduling is to shorten waiting time and reduce energy consumption at the same time. The main work of the thesis includes:1. Presentation and analysis of the problemsFirst, this paper introduces the status of the condition of energy consumption and energy management in home and abroad steel enterprises. Then, it analyses the main way and the advanced experience of energy consumption at present and reviews the literature on this issue. At last, it proposes the energy optimization and logistics scheduling problems as well as states the possibility and importance of this problem. 2. Model for the energy distribution scheduling problemAfter the depth analysis of all the characteristics of energy medium and energy processes of the iron and steel industry, we established an energy dynamic balance and optimal scheduling model under the comprehensive consideration of the energy input-output capacity of medium and medium ratio of energy, energy network pressure, energy storage and other constraints. The differences between the new model and the existing one is the increase in of energy medium, the perfection of the production process, the energy distribution of real-time scheduling and the focus of the secondary energy recovery and re-use issues. The experimental results show the validity of the model.3. Model and optimization for the Steelmaking-refining hot-chain logistics and schedulingAfter the depth understanding of steelmaking-refining stage production technology and the characteristics of hot jobs between the production processes, a crane-vehicle logistics scheduling optimization model is established under the consideration of the steelmaking and multi-refining process of transport coordination scheduling problem and the transportation constraints for vehicles and crane. The difference between the new model and the existing one is that the new considers the coordination between different production devices transportation and different transport equipment. As the issue is NP-hard problem, conventional methods can not solve the problem. As a result, Tabu search algorithm is constructed according to the properties of the problem. The numerical results show that the algorithm is effective.4. Design and realization for the Steelmaking-refining hot-chain logistics scheduling decision support systemAs the complexity and variability of the logistics scheduling in the process of steelmaking-refining, it is very difficult to realize system optimization simply by relying on artificial scheduling. The system organically integrates optimization model algorithm and the experience of planning and scheduling staff. It can achieve automatic scheduling tasks of the vehicles and cranes by optimization algorithms, aiming at different problems of the vehicles and cranes convergence which is responsible for the production and transportation logistics scheduling in iron and steel industries. The system simulation results show the validity of the model and optimization algorithm.