This paper proposes a deep neural network (DNN)-based method for predicting ore
production by truck-haulage systems in open-pit mines. The proposed method utilizes two …

Traditionally, port terminals implement Truck Appointment System to control expected
arrivals of trucks in port terminals. However, the occurrence of disruptions during transport …

Predicting the fleet requirement based on fleet productivity estimation is one of the critical
parts of a robust long-term mine plan. The dispatch logic that determines the return …

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 …

A new method using a deep neural network (DNN) model is proposed to predict the ore
production and crusher utilization of a truck haulage system in an underground mine. An …

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 …

In this study, we developed a system to collect and analyze log data related to truck travel
times in underground mines using Bluetooth beacons and tablet computers. When a signal …

Currently, many mining companies face the need to increase the efficiency of their
performance in conditions of growing competitiveness and market globalization. To achieve …

SummarySince a significant part of mine operating cost belongs to hauling operations,
optimizing the allocation and scheduling of trucks in a dynamic system is essential and …

The process of digitalization in Ukraine is slow, so studying the state of digitalization of the
mining industry is a very relevant issue and will help increase the competitiveness and …