Intelligent Optimization Scheduling Strategy for Energy Consumption Reduction for Equipment in Open-Pit Mines Based on Enhanced Genetic Algorithm

Fudong Li (), Zonghao Shi, Weiqiang Ding and Yongjun Gan
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Fudong Li: School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 100192, China
Zonghao Shi: School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 100192, China
Weiqiang Ding: School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Yongjun Gan: School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 100192, China

Energies, 2024, vol. 18, issue 1, 1-18

Abstract: To achieve a rational allocation of real-time operational equipment, such as excavators and dump trucks, in open-pit mines, and thereby enhance truck–shovel coordination, this paper addresses the challenges posed by unreasonable on-site scheduling, which includes excessive truck waiting times and prolonged excavator boom-and-dipper operations. Ultimately, the paper aims to attain optimal truck–shovel coordination efficiency. To this end, we construct a scheduling optimization model, with the production capacities of trucks and shovels serving as constraints. The objective functions of this model focus on minimizing transportation costs, reducing truck waiting times, and shortening excavator boom-and-dipper operation durations. To solve this model, we have developed an improved genetic algorithm that integrates roulette wheel selection and elite preservation strategies. The experimental results of our algorithm demonstrate that it can provide a more refined operational equipment scheduling scheme, effectively decreasing truck transportation costs and enhancing equipment utilization efficiency in open-pit mines.

Keywords: open-pit mine; transportation costs; truck waiting times; excavator boom-and-dipper operation durations; improved genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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