[HTML][HTML] Advancing sustainability: An integrated decision support framework for fleet selection in open pit mining construction

A Alshibani, B Elmaghraby, A Bubshait… - Results in …, 2024 - Elsevier
The process of selecting and configuring equipment fleets for open-pit mining is complex,
requiring consideration of both quantitative and qualitative criteria. This paper presents a …

Smart dispatching for low-carbon mining fleet: A deep reinforcement learning approach

D Huo, YA Sari, Q Zhang - Journal of Cleaner Production, 2024 - Elsevier
As the mining sector strives to meet its greenhouse gas (GHG) reduction targets by 2030
and 2050, the need for efficient energy-saving measures becomes paramount. This study …

Sequential Distributed Model Predictive Control for Automated Mining Fleet

Z Wang, J Yang - IEEE Access, 2023 - ieeexplore.ieee.org
This work mainly focuses on fleet collaborative control for autonomous mining fleets. In this
paper, we first developed a double-layer coupling model including the intersection platoon …

[PDF][PDF] The challenge of reducing diesel consumption and greenhouse gas emissions: A perspective on the use of hydrogen in mining trucks

RL Figueiredo, CEA Ortiz, JM Silva - Mining Science, 2024 - miningscience.pwr.edu.pl
In mining, the traditional system of operation relies on equipment that consumes large
amounts of energy. In mine operations, trucks are widely used due to their flexibility, loading …

[PDF][PDF] Integrated dispatching and coordination of electrical drill rigs in open-pit mines: A constraint programming ap-proach

M Maftah, B Agard, M Gendreau… - Les Cahiers du GERAD …, 2024 - gerad.ca
This paper addresses the Integrated Electrical Drill Rig Dispatching and Drilling
Coordination Problem (IDRDCP) in open-pit mining operations, combining machine …

[PDF][PDF] Results in Engineering

A Alshibani, MS Aldossary, MA Hassanain, H Hamida… - researchgate.net
The process of selecting and configuring equipment fleets for open-pit mining is complex,
requiring consideration of both quantitative and qualitative criteria. This paper presents a …

Multi-Agent Deep Reinforcement Learning to Improve Efficiency of Autonomous Mining Transportation

S Pei, J Yang - Available at SSRN 4604945 - papers.ssrn.com
In the domain of mining transportation, conventional scheduling and human-controlled
approaches often result in diminished efficiency and suboptimal outcomes, encompassing …

[PDF][PDF] nRouterz 1001 S Main St, Kalispell, MT 59901, United States (181, Street 9 near Jasmine Mall, Bahria Town, Lahore)

MO Shahid - 2024 - repository.cuilahore.edu.pk
5| P age 1. Introduction At its core, a truck dispatching company serves as the orchestrator of
transportation operations, seamlessly connecting shippers with truckers to ensure goods …

[PDF][PDF] Optimizing Green Truck Dispatch in an Open Pit Mine through a Multi-Objective Simulation and Optimization Framework with Fuel Consumption Consideration

MK Ashtiania, AM Afrapolib, J Doucettec… - researchgate.net
In open pit mining, trucks play a vital role in transporting materials. By optimizing truck
dispatching strategies, both productivity and sustainability principles can be effectively …