Dragline operation modelling and task assignment based on mixed-integer linear programming

Dragline operation modelling and task assignment based on mixed-integer linear programming Optim Eng https://doi.org/10.1007/s11081-018-9386-5 RESEARCH ARTICLE Dragline operation modelling and task assignment based on mixed-integer linear programming 1 1 1 • • Haoquan Liu Michael P. Kearney Kevin J. Austin Received: 6 December 2016 / Revised: 9 November 2017 / Accepted: 6 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Draglines are among the largest earthmoving machines in surface mining, where they are used to remove the waste material (overburden) sitting above a target mineral or coal deposit. The effectiveness of their operation is highly dependent on decisions made by their operators, including the sequence of positions at which they operate and the bulk material movement (what to dig and where to dump) during excavation at each position. In this paper, we formulate a mixed-integer linear program that captures the operational constraints imposed in dragline excavation to determine the optimal material movement for a prescribed sequence of dragline positions. Through a simulation study, we show that the dragline productivity can be improved by more effective assignment of material movement tasks to individual dragline positions. We find that the improvement made compared to using a ‘greedy’digging and dumping strategy depends on the dragline positioning sequence and the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optimization and Engineering Springer Journals

Dragline operation modelling and task assignment based on mixed-integer linear programming

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Mathematics; Optimization; Engineering, general; Systems Theory, Control; Environmental Management; Operations Research/Decision Theory; Financial Engineering
ISSN
1389-4420
eISSN
1573-2924
D.O.I.
10.1007/s11081-018-9386-5
Publisher site
See Article on Publisher Site

Abstract

Optim Eng https://doi.org/10.1007/s11081-018-9386-5 RESEARCH ARTICLE Dragline operation modelling and task assignment based on mixed-integer linear programming 1 1 1 • • Haoquan Liu Michael P. Kearney Kevin J. Austin Received: 6 December 2016 / Revised: 9 November 2017 / Accepted: 6 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Draglines are among the largest earthmoving machines in surface mining, where they are used to remove the waste material (overburden) sitting above a target mineral or coal deposit. The effectiveness of their operation is highly dependent on decisions made by their operators, including the sequence of positions at which they operate and the bulk material movement (what to dig and where to dump) during excavation at each position. In this paper, we formulate a mixed-integer linear program that captures the operational constraints imposed in dragline excavation to determine the optimal material movement for a prescribed sequence of dragline positions. Through a simulation study, we show that the dragline productivity can be improved by more effective assignment of material movement tasks to individual dragline positions. We find that the improvement made compared to using a ‘greedy’digging and dumping strategy depends on the dragline positioning sequence and the

Journal

Optimization and EngineeringSpringer Journals

Published: Jun 1, 2018

References

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