Reinforcement Learning-Based Policy for Haul-Truck Dispatch: A Framework for Earthmoving and Quarry Operations

Truck-to-excavator assignment is a time-critical control problem in open-pit earthmoving systems (mines, quarries, and large cut-and-fill construction sites) where stochastic travel and service times, changing queues, and equipment outages continually alter the best dispatch decision. A deep reinfor...

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Hlavní autoři:	Mohsen Hatami, Ian Flood, Forough Foroutan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-06-01
Edice:	Buildings
Témata:	deep reinforcement learning digital twin discrete-event simulation earthmoving logistics open-pit mining truck dispatch
On-line přístup:	https://www.mdpi.com/2075-5309/16/11/2274
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