Workshop scheduling optimization in mine production center under digital twins

Li Shixi; Fan Lingyun; Liu Ming; Li Pengyang; Zhao Anxin; Zhao Yekai

doi:10.19896/j.cnki.mtkj.2025.02.001

Abstract：To address the deficiencies of traditional workshop scheduling processes that often overlooked interference factors such as e-quipment failures,maintenance,and material transport obstacles,as well as issues of poor real-time responsiveness and discrepancies be-tween theory and practice,a method for assembly line workshop scheduling based on a genetic algorithm of digital twins was introduced.Based on the actual production process requirements in underground mines,a simulation model of the digital twins for assembly line workshop scheduling was constructed to solve the impact of workshop emergencies such as production equipment failures on the produc-tion process through genetic algorithms.The scheduling of an automated cylinder head assembly line workshop was taking as an example,a Gantt chart was added and used to analyze the scheduling optimization under ideal state,double disturbance,and multiple disturbance conditions.It was proved that the algorithm has a faster processing speed compared to actual production,with processing times of 1 165,1 188.18,and 1 221.08 minutes under ideal,double disturbance,and multiple disturbance conditions,respectively.At the same time,the deviation rate under multiple disturbance conditions was extremely low,at 1.13％.And the experiment of automated cylinder head assembly line workshop scheduling show that the advantages of the assembly line workshop scheduling method using digital twin genetic algorithm and the progressiveness of data monitoring visualization in the face of harsh environment of mine production.