A Dynamic Scheduling Model for Underground Metal Mines under Equipment Failure Conditions

Siyu Tu, Mingtao Jia (), Liguan Wang, Shuzhao Feng and Shuang Huang
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Siyu Tu: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Mingtao Jia: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Liguan Wang: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Shuzhao Feng: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Shuang Huang: School of Resources and Safety Engineering, Central South University, Changsha 410083, China

Sustainability, 2023, vol. 15, issue 9, 1-18

Abstract: Equipment failure is a common problem in mining operations, resulting in significant delays and reductions in production efficiency. To address this problem, this paper proposes a dynamic scheduling model for underground metal mines under equipment failure conditions. The model aims to minimize the impact of equipment failures on production operations while avoiding extensive equipment changes. A case study of the southeastern mining area of the Chambishi Copper Mine is presented to demonstrate the effectiveness of the proposed model. The initial plan was generated using the multi-equipment task assignment model for the horizontal stripe pre-cut mining method. After equipment breakdown, the proposed model was used to reschedule the initial plan. Then, a comparative analysis was carried out. The results show that the proposed model effectively reduces the impact of equipment failures on production operations and improves overall mining execution at a low management cost. In general, the proposed model can assist schedulers in allocating equipment, coping with the disturbing effects of equipment failure, and improving mine production efficiency.

Keywords: dynamic scheduling; equipment failure; rescheduling plan; multi-equipment task assignment; underground metal mine (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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