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 …

Ore production is usually affected by multiple influencing inputs at open-pit mines.
Nevertheless, the complex nonlinear relationships between these inputs and ore production …

One of the key factors in a profitable open-pit mine is the efficiency of the waste disposal
system. Using GPS-technology, the truck-dispatching decisions can be made in real-time but …

One of the most adverse effects encountered during blasting in open-pit mines is ground
vibration. The peak particle velocity (PPV) is a measure used for ground vibrations; however …

The economics of today's mining industry requires more efficient usage of truck-shovel
systems. In this paper, a discrete-event simulation model is developed, implemented, and …

Purpose Tracked hydraulic excavators are versatile and ubiquitous items of off-highway
plant and machinery that are utilised throughout the construction industry. Each year, a …

In the past decade, machine learning (ML) algorithms have been widely applied to build
prediction models for various mining applications. However, no research has been reported …

The truck haulage data from open-pit mine sites are usually massive and multidimensional
with multi-peak Gaussian distributions. Artificial neural networks (ANNs) are well-known …

Accurate truck travel time prediction (TTP) is one of the critical factors in the dynamic optimal
dispatch of open‐pit mines. This study divides the roads of open‐pit mines into two types …

The historical datasets at operating mine sites are usually large. Directly applying large
datasets to build prediction models may lead to inaccurate results. To overcome the real …