With the improvement of China's manufacturing level,the demand for steel materials in the automobile and household appliance manufacturing industries presents the characteristics of multi-va-riety,small batch and personality.The contradiction between the large-scale production mode of steel plants and the personalized needs of customers is more prominent,which brings an unprecedented challenge to production planning and scheduling.Based on the production scheduling of cold rolling annealing process of silicon steel,a scheduling model considering various process constraints such as width jump and annealing temperature jump was established to address the optimization problem of steel production scheduling.The algorithm for solving the model was designed by combining know-how and insertion heuristics.The model and algorithm were verified by actual production cases.The experimental results show that the proposed scheduling method not only accords with the experience preference of planners,but also can effectively improve the optimization effect of scheduling plan by using the computing ability of computer.The application effect of the system after 6 months of opera-tion shows that the use of transition materials was reduced by 38.44％,the scheduling method pro-posed in this paper can significantly reduce the use rate of transition materials.
silicon steelcold rolling annealing processschedulingknow-howinsertion heuristics
NETL
NSTL
万方数据
维普
