Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures
To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling mo...
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| Format: | Article |
| Language: | English |
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Emergency Management Press
2025-04-01
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| Series: | 矿业科学学报 |
| Subjects: | |
| Online Access: | http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2025004 |
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| author | GU Qinghua WANG Xueqing WANG Dan ZHANG Pengpeng WANG Yu |
| author_facet | GU Qinghua WANG Xueqing WANG Dan ZHANG Pengpeng WANG Yu |
| author_sort | GU Qinghua |
| collection | DOAJ |
| description | To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume. |
| format | Article |
| id | doaj-art-736100708c0e40f5a783e1fce56bbfb5 |
| institution | OA Journals |
| issn | 2096-2193 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Emergency Management Press |
| record_format | Article |
| series | 矿业科学学报 |
| spelling | doaj-art-736100708c0e40f5a783e1fce56bbfb52025-08-20T02:24:57ZengEmergency Management Press矿业科学学报2096-21932025-04-0110230531510.19606/j.cnki.jmst.2025004kykxxb-10-2-305Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failuresGU Qinghua0WANG Xueqing1WANG Dan2ZHANG Pengpeng3WANG Yu4School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, ChinaSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, ChinaSchool of Management, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, ChinaPowerChina Roadbridge Group Co., Ltd., Beijing 100160, ChinaNorthwest Engineering Co., Ltd., Xi'an Shaanxi 710065, ChinaTo reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2025004sudden equipment failuremulti-objective evolutionary algorithmsurface coal minerescheduling |
| spellingShingle | GU Qinghua WANG Xueqing WANG Dan ZHANG Pengpeng WANG Yu Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures 矿业科学学报 sudden equipment failure multi-objective evolutionary algorithm surface coal mine rescheduling |
| title | Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures |
| title_full | Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures |
| title_fullStr | Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures |
| title_full_unstemmed | Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures |
| title_short | Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures |
| title_sort | optimization of unmanned truck fleet scheduling in open pit mines considering sudden equipment failures |
| topic | sudden equipment failure multi-objective evolutionary algorithm surface coal mine rescheduling |
| url | http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2025004 |
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