Li, N.; Feng, S.; Lei, T.; Ye, H.; Wang, Q.; Wang, L.; Jia, M. Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation. Sustainability2022, 14, 3448.
Li, N.; Feng, S.; Lei, T.; Ye, H.; Wang, Q.; Wang, L.; Jia, M. Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation. Sustainability 2022, 14, 3448.
Li, N.; Feng, S.; Lei, T.; Ye, H.; Wang, Q.; Wang, L.; Jia, M. Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation. Sustainability2022, 14, 3448.
Li, N.; Feng, S.; Lei, T.; Ye, H.; Wang, Q.; Wang, L.; Jia, M. Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation. Sustainability 2022, 14, 3448.
Abstract
Due to production space and operating environment requirements, mine production equipment often breaks down, which seriously affects the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established in this paper. The model aims to accomplish both the maximum completion rate of the original mining plan and the minimum fluctuation of the ore grade during the rescheduling period. This model is optimized by improving the wolf colony algorithm and changing the location update formula of the individuals in the wolf colony. Then, the optimal model solution can be used to optimize the rescheduling of the haulage plan by considering equipment breakdowns. The application of the proposed method in an underground mine revealed that the completion rate of the mine’s daily mining plan reached 83.40% without increasing the number of the equipment, while and the ore quality was stable. Moreover, the improved optimization algorithm converged fast and was characterized by high robustness.
Keywords
project scheduling; underground mine; random breakdown simulation; wolf colony algorithm; multi-objective optimization
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.