Dispatch with Confidence
Author:
Affiliation:
1. Hitachi America Ltd, Santa Clara, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3097983.3098178
Reference19 articles.
1. Outlier Analysis
2. Real –time dispatching modelling for trucks with different capacities in open pit mines / Modelowanie w czasie rzeczywistym przewozów ciężarówek o różnej ładowności w kopalni odkrywkowej
3. Overview of Solution Strategies Used in Truck Dispatching Systems for Open Pit Mines
4. S.G. Ercelebi and A. Bascetin. 2009. Optimization of shovel-truck system for surface mining. Journal of the Southern African Institute of Mining and Metallurgy 109 (07 2009) 433--439. S.G. Ercelebi and A. Bascetin. 2009. Optimization of shovel-truck system for surface mining. Journal of the Southern African Institute of Mining and Metallurgy 109 (07 2009) 433--439.
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1. Deep Reinforcement Learning based real-time open-pit mining truck dispatching system;Computers & Operations Research;2025-01
2. A review of artificial intelligence applications in manufacturing operations;Journal of Advanced Manufacturing and Processing;2023-05-16
3. Reinforcement Learning-Based Fleet Dispatching for Greenhouse Gas Emission Reduction in Open-Pit Mining Operations;Resources, Conservation and Recycling;2023-01
4. Integration of simulation and dispatch modelling to predict fleet productivity: an open-pit mining case;Mining Technology;2022-06
5. On some aspects of increasing the target productivity of unmanned mine dump trucks;Eurasian Mining;2021-12-31
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