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Production Schedule Optimisation in Underground Hard Rock Mining Using Mixed Integer Programming

机译:混合整数规划下地下硬岩挖掘生产计划优化

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There are presently no suitable underground mine production scheduling optimisation models available for application to sublevel stope mining. Scheduling underground production for maximum return is therefore still a manual process, which generally involves scheduling production from the next available highest cash flow stope within the operational constraints of the project. In most mining operations, the scheduling problem is too large and complex to guarantee truly optimal results through manual scheduling. This paper reviews some general optimisation studies that have been proposed for underground hard rock mining. Furthermore, an example of a mixed integer programming model is presented for a small conceptual sublevel stoping operation. Comparative results of a schedule generated by a mixed integer programming (MIP) production scheduling model and a manually generated model on a nine stope example is presented. Results indicate that the potential benefits of the MIP production scheduling model for the purpose of maximising NPV are significant. Finally, a new constraint was formulated to limit multiple exposures of fill masses for use in an existing MIP production scheduling model. Testing of the formulation took place on the central stope of the nine stope example, which showed that the formulation performed its task without breaking other operational constraints.
机译:目前没有适合的地下矿井生产调度优化型号可供应用于卸络矿井。因此,调度地下生产最大返回仍然是一个手动过程,通常涉及从项目操作系统的下一个可用最高现金流程中的调度生产。在大多数采矿业务中,调度问题太大而且复杂,以通过手动调度保证真正的最佳结果。本文介绍了一些普遍优化研究,已提出用于地下硬岩挖掘。此外,呈现了混合整数编程模型的示例,用于小概念上限止动操作。呈现由混合整数编程(MIP)生产调度模型生成的计划和在九个突起示例上的手动生成模型产生的比较结果。结果表明,用于最大化NPV的MIP生产调度模型的潜在益处是显着的。最后,制定了一个新的约束,以限制多种填充块的曝光,以用于现有的MIP生产调度模型。制剂的测试发生在九个静脉示例的中央部门,这表明该配方在不破坏其他操作约束的情况下进行了任务。

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