Genetic optimization of ladle scheduling in empty-ladle operation stage based on temperature drop control

作     者：Yu-jie Hong Qing Liu Jian-ping Yang Jian Wang Shan Gao Hong-hui Li Yu-jie Hong;Qing Liu;Jian-ping Yang;Jian Wang;Shan Gao;Hong-hui Li

作者机构：State Key Laboratory of Advanced MetallurgyUniversity of Science and Technology BeijingBeijing 100083China Laiwu Iron and Steel GroupYinshan Section Steel Co.Ltd.Laiwu 271100ShandongChina 

出 版 物：《Journal of Iron and Steel Research International》 (国际钢铁研究杂志)

年 卷 期：2022年第29卷第4期

页      面：563-574页

核心收录：

学科分类：080602[工学-钢铁冶金] 08[工学] 0806[工学-冶金工程] 

基　　金：the Fundamental Research Funds for Central Universities(FRF-BR-17-029A) 

主　　题：Ladle scheduling Empty-ladle operation Waiting time Genetic algorithm Temperature drop 

摘      要：To optimize ladle scheduling in the empty-ladle operation stage of steel plants,a mathematical scheduling model was established for the empty-ladle operation stage,taking the minimum total waiting time in the empty-ladle operation stage as the optimization goal and setting the equipment assignment uniqueness as the key *** improved genetic algorithm was designed to calculate the mathematical scheduling *** the operation of the genetic algorithm,the strategy ofladle temperature drop controlwas adopted to solve the problem of equipment conflicts and reduce unreasonable ladle temperature drops to enhancered-ladle*** main production modes operating at 95%capacity in a Chinese steel plant were simulated using the genetic optimization *** results showed that the genetic optimization model could improve the efficiency of ladle operation and reduce the total waiting time in the empty-ladle operation stage by 868–1147 min.