An integrated approach to panel width, fleet size, and change-out time optimization in room-and-pillar mines
Affiliation
Department of Mining and Geological Engineering, University of ArizonIssue Date
2022
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Anani, A., Nyaaba, W., & Córdova, E. (2022). An integrated approach to panel width, fleet size, and change-out time optimization in room-and-pillar mines. Journal of the Southern African Institute of Mining and Metallurgy, 122(4), 181–190.Rights
Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Optimization of panels, haulage fleet, and waiting area involves deterministic and low-fidelity methods and experiential knowledge. The process is challenging because coal recovery and operational capabilities must be considered in the solution. The approach in this manuscript comprises the development of an integrated stochastic simulation model of a coal room-and-pillar system that addresses these challenges. The decision variables evaluated are panel width, number of shuttle cars, and change-out time (COT). The results show that the mine should implement the shortest possible COT, decreasing the cycle time and thereby increasing productivity and continuous miner (CM) utilization. The highest productivity and CM utilization for a fleet size of three shuttle cars is found in the 15-entry panel width. For the evaluated fleet sizes, the 19-entry panel width is optimal for the four and five shuttle cars. Among the three variables studied, panel width and fleet size had the most significant effects (5% increase) on the CM productivity, cycle time, and utilization. © 2022 South African Institute of Mining and Metallurgy. All rights reserved.Note
Open access journalISSN
2225-6253Version
Final published versionae974a485f413a2113503eed53cd6c53
10.17159/2411-9717/1509/2022
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Except where otherwise noted, this item's license is described as Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License.

