The weaknesses of conventional simulations and ever-increasing capabilities offered by
technological trends have compressed the spring of the surface mining industry for a giant …

The mathematical methods developed so far for addressing truck dispatching problems in
fleet management systems (FMSs) of open-pit mines fail to capture the autonomy and …

Fleet management systems in open pit mines make two important semi-dynamic and
dynamic decisions to maximize utilization of available equipment: the decision of allocation …

The trend in underground mine development is trackless transportation, and the scheduling
optimization of underground mine trackless transportation is a current research hotspot. This …

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 …

Production scheduling is one of the most substantial indicators in achieving short-term,
medium-term, and long-term production planning goals. Satisfying this indicator can …

Fleet management systems (FMSs) as the pivotal part of any surface mining operation find it
essential to evolve from conventional into intelligent systems because of both Mining 4.0 …

Digital Twin as a key enabler of Mining 4.0 is a sensational topic nowadays, characterized
with intelligent decision-making and real-time data flow. Conventional methods are …

Loading and haulage operation in open pit mines is the last stage of the mining process.
truck-shovel system, due to its many advantages including high flexibility, is preferred for this …

This paper presents the machine learning method (ML), a novel approach that could be a
profitable idea to optimize fleet management and achieve a sufficient output to reduce …