The advent of digital twins in surface mining: Its time has finally arrived

A Hazrathosseini, AM Afrapoli - Resources Policy, 2023 - Elsevier
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 …

Sustainable open pit fleet management system: integrating economic and environmental objectives into truck allocation

MG Anaraki, AM Afrapoli - Mining Technology, 2023 - journals.sagepub.com
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 …

Multi-stage optimization framework for the real-time truck decision problem in open-pit mines: a case study on Sungun copper mine

M Mohtasham, H Mirzaei-Nasirabad… - … Journal of Mining …, 2022 - Taylor & Francis
This work deals with the optimal decisions for materials handling in open-pit mines. The
main purpose of this research is to present a multi-stage approach, which has three …

Deep Reinforcement Learning based real-time open-pit mining truck dispatching system

R Noriega, Y Pourrahimian, H Askari-Nasab - Computers & Operations …, 2025 - Elsevier
Open-pit mines are highly dynamic and uncertain environments with complex interactions
between haulage and loading equipment on a shared road network. Truck fleet …

A real-world mine excavators timetabling methodology in open-pit mining

SQ Liu, E Kozan, P Corry, M Masoud, K Luo - Optimization and …, 2023 - Springer
In the literature of mining optimisation, most classical mine block sequencing or open-pit
mine production scheduling problems are applied at strategic and tactical levels, because …

An optimization model for the real-time truck dispatching problem in open-pit mining operations

H Mirzaei-Nasirabad, M Mohtasham… - Optimization and …, 2023 - Springer
This work is concerned with the real-time truck dispatching problem in open-pit mining
operations. The proposed methodology is built on a multi-stage dispatching approach to …

Machine learning for open-pit mining: a systematic review

SQ Liu, L Liu, E Kozan, P Corry, M Masoud… - … Journal of Mining …, 2025 - Taylor & Francis
Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

Optimization of truck–loader matching based on a simulation method for underground mines

J Hou, G Li, L Chen, H Wang, N Hu - Sustainability, 2022 - mdpi.com
The choice of transportation system has an important impact on the production efficiency
and economic behavior of underground mines. Trackless vehicle transportation has …

A Multiple Objective Hybrid Algorithm for Daily Ore Blend in Oil Sands Mines

V Nikbin, A Moradi Afrapoli - International Journal of Mining …, 2023 - Taylor & Francis
Oil sands mining contributes to the Canadian daily oil production by producing 1.617 million
barrels per day. Processing oil sands is a complex operation with a critical sensitivity to the …

Optimum fleet selection using machine learning algorithms—Case study: Zenouz Kaolin mine

P Nobahar, Y Pourrahimian, F Mollaei Koshki - Mining, 2022 - mdpi.com
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 …