Optimum Fleet Selection Using Machine Learning Algorithms—Case Study: Zenouz Kaolin Mine
This paper presents the machine learning (ML) method, a novel approach that could be a profitable idea to optimize fleet management and achieve a sufficient output to reduce operational costs, by diminishing trucks’ queuing time and excavators’ idle time, based on the best selection of the fleet. Th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
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| Series: | Mining |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-6489/2/3/28 |