Study on Model and Method for Production Scheduling on Hot Rolling Section
According to the technical demand of hot-rolling production in steel plant, a production scheduling mathematical model was proposed with the aim of reducing the production cost and optimizing the product quality. The scheduling of reheating furnaces which was summed up as the Boolean satisfiability problem was involved in rolling scheduling optimization which was summed up as the multiple traveling salesman problem with uncertain traveling salesman number, and a two-stage genetic-tabu algorithm was designed to solve the problem. It was shown that, the model could fully meet the demand of hot-rolling production. Compared to the human-computer method, the results had better performance on high production and energy efficiency.
Xingui He, Ertian Hua, Yun Lin and Xiaozhu Liu
Y. J. Yang et al., "Study on Model and Method for Production Scheduling on Hot Rolling Section", Applied Mechanics and Materials, Vols. 88-89, pp. 307-313, 2011