Equipment Selection for Surface Mining: A Review

Christina N. Burt () and Lou Caccetta ()
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Christina N. Burt: Department of Mathematics and Statistics, University of Melbourne, Melbourne 3010, Australia
Lou Caccetta: Department of Mathematics and Statistics, Curtin University of Technology, Bentley 6845, Australia

Interfaces, 2014, vol. 44, issue 2, 143-162

Abstract: One of the challenging problems for surface mining operation optimization is choosing the optimal truck and loader fleet. We refer to this problem as the equipment selection problem (ESP). In this paper, we describe the ESP in the context of surface mining and discuss related problems and applications. Within the scope of both the ESP and related problems, we outline modeling and solution approaches. Using operations research literature as a guide, we conclude by pointing to future research directions to improve both the modeling and solution outcomes for practical applications of this problem.

Keywords: equipment selection; surface mining; shovel-truck productivity; mining method selection; multicommodity network flow (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:44:y:2014:i:2:p:143-162

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