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Optimising underground mine train scheduling: a mixed-integer linear programming approach

dc.contributor.authorSnyman, H.J.
dc.contributor.authorBisset, C.
dc.contributor.authorLuies, R.
dc.date.accessioned2025-06-02T12:38:12Z
dc.date.available2025-06-02T12:38:12Z
dc.date.issued2024-10
dc.descriptionConference paper, Faculty of Engineering, Vanderbijlpark Campusen_US
dc.description.abstractUnderground mines utilise a single-lane, bidirectional transportation network during ore extraction. Once the underground train has reached the elevator shaft, the ore is dumped into a skip and lifted to ground level for further handling. Congestion on the single-lane network is a significant problem for underground mines. Several studies have addressed the congestion problem on a double-lane network, but the proposed models do not apply to the single-lane, bidirectional network. First, a brief background is provided regarding the related studies. Second, a mathematical programming model is proposed to schedule trains on a single-lane, bidirectional transportation network. The model aims to improve the network's transportation throughput. The formulation of the mathematical programming model is verified and validated using historical data. The main contribution of this study is the formulation of a mathematical programming model for scheduling underground mine trains on a single-lane, bidirectional network.en_US
dc.identifier.citationSnyman, H.J. et al. 2024. Optimising underground mine train scheduling: a mixed-integer linear programming approach. SAIIE34 Proceedings, 14th – 16th October 2024.en_US
dc.identifier.urihttp://hdl.handle.net/10394/42932
dc.language.isoenen_US
dc.publisherSAIIEen_US
dc.subjectFlow conservationen_US
dc.subjectOptimisationen_US
dc.subjectSingle-lane bidirectional networken_US
dc.titleOptimising underground mine train scheduling: a mixed-integer linear programming approachen_US
dc.typeOtheren_US

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