A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning

R Noriega, Y Pourrahimian - Resources Policy, 2022 - Elsevier
The significant increase in data availability and high-computing power and innovations in
real-time monitoring systems enable the technological transformation of the mining industry …

Vehicle dynamic dispatching using curriculum-driven reinforcement learning

X Zhang, G Xiong, Y Ai, K Liu, L Chen - Mechanical Systems and Signal …, 2023 - Elsevier
This study focuses on optimizing resource allocation problems in complex dynamic
environments, specifically vehicle dispatching in closed bipartite queuing networks. We …

Transition to intelligent fleet management systems in open pit mines: A critical review on application of reinforcement-learning-based systems

A Hazrathosseini, A Moradi Afrapoli - Mining Technology, 2024 - journals.sagepub.com
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 …

Real-time scheduling of autonomous mining trucks via flow allocation-accelerated tabu search

X Zhang, A Guo, Y Ai, B Tian… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Material transportation is an essential process in mining operations and accounts for a large
portion of total energy consumption. With the development of automation technology …

[HTML][HTML] Container port truck dispatching optimization using Real2Sim based deep reinforcement learning

J Jin, T Cui, R Bai, R Qu - European Journal of Operational Research, 2024 - Elsevier
In marine container terminals, truck dispatching optimization is often considered as the
primary focus as it provides crucial synergy between the sea-side operations and yard-side …

Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions

A Hocine, ZY Zhuang, N Kouaissah, DC Li - European Journal of …, 2020 - Elsevier
This paper proposes a novel weighted-additive fuzzy multi-choice goal programming (WA-
FMCGP) model for the imprecise decision context wherein several conflicting goals are …

Integrating production planning with truck-dispatching decisions through reinforcement learning while managing uncertainty

JP de Carvalho, R Dimitrakopoulos - Minerals, 2021 - mdpi.com
This paper presents a new truck dispatching policy approach that is adaptive given different
mining complex configurations in order to deliver supply material extracted by the shovels to …

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 …

Optimization of truck-shovel allocation in open-pit mines under uncertainty: a chance-constrained goal programming approach

M Mohtasham, H Mirzaei-Nasirabad… - Mining …, 2021 - journals.sagepub.com
The truck allocation problem is an important section of the transportation system in open-pit
mines. Most available models for the truck scheduling problem do not directly address the …

Integration of simulation and dispatch modelling to predict fleet productivity: an open-pit mining case

M Yeganejou, M Badiozamani… - Mining …, 2022 - journals.sagepub.com
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 …