Revolutionizing Open-Pit Mining Fleet Management: Integrating Computer Vision and Multi-Objective Optimization for Real-Time Truck Dispatching

The implementation of fleet management software in mining operations poses challenges, including high initial costs and the need for skilled personnel. Additionally, integrating new software with existing systems can be complex, requiring significant time and resources. This study aims to mitigate t...

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Vydáno v:	Applied sciences Ročník 15; číslo 9; s. 4603
Hlavní autoři:	Hasözdemir, Kürşat, Meral, Mert, Kahraman, Muhammet Mustafa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.05.2025
Témata:	Algorithms Automation Computer vision Construction equipment industry Deep learning Digital cameras Efficiency Electronic waste Excavating machinery fleet management Inventory control Machine learning Machine vision Mineral industry Mines Mines and mineral resources Mining Mining industry mining operations Motor vehicle fleets multi-objective optimization Optimization real-time optimization Underground construction Video recorders Waste management
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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