Optimization of Trackless Equipment Scheduling in Underground Mines Using Genetic Algorithms
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Optimization of Trackless Equipment Scheduling in Underground Mines Using Genetic Algorithms Hao Wang 1,2,3 & Victor Tenorio 3 & Guoqing Li 1,2
&
Jie Hou 1,2 & Nailian Hu 1,2
Received: 3 March 2020 / Accepted: 6 August 2020 # Society for Mining, Metallurgy & Exploration Inc. 2020
Abstract This paper presents an algorithm for optimizing the scheduling of trackless equipment in underground mines. With the shortest working interval and maximum productivity as goals, a genetic algorithm (GA) is used to solve the problem, and obtain the optimal working sequence with the most suitable equipment configuration possible. The input for the proposed method is the number of units and capacity of trackless equipment, the production process, ore amount in stopes, and the distance between stopes. The algorithm is verified using four setups of 5 stopes with 5 cycles, 5 stopes with 15 cycles, 10 stopes with 10 cycles, and 10 stopes with 30 cycles. The solution time of the algorithm is no more than 20 min, which is acceptable for practical applications. The results show that the setup of 10 stopes with 30 cycles is closer to the actual production of the mines, and the optimization model can effectively improve the operation efficiency. In this scenario, the robustness of the optimization is tested by simulating equipment failure events. Under the condition of 8% failure rate, the operation time is extended over 3.21–14.56% than expected, which represents strong robustness. The algorithm can quickly provide a feasible and effective solution for the production scheduling decision of trackless equipment in underground mines. Keywords Scheduling optimization . Underground mine . Genetic algorithm (GA) . Trackless equipment . System simulation . Equipment management
1 Introduction Mining is the process of extracting ore products from the ground to the surface, usually divided into open pit mining and underground mining. The underground mine production system is a flexible production system involving several factors, multiple levels, and dynamic changes. Mine production can be defined as a system formed by its elements which are the operational mining system, the blocks to be mined, and the utilization of functions seeking to obtain the maximum discounted cash flows of the mining operations as a goal [1]. * Guoqing Li [email protected] 1
Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing, China
2
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China
3
Mine Intelligence Research Group, Department of Mining and Geological Engineering, University of Arizona, 1235 E James E. Rogers Way, Rm. 237, Tucson, AZ 85721, USA
The coordinated operation of the mine production system is essential for strengthening mine production capacity and improving mine efficiency. The effective scheduling and optimization technology research and application are the basis and key to improving the efficiency of the prod
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