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Long-term mine production scheduling optimization and strategic planning under complex operational constraints

机译：复杂运营限制下的长期矿山生产调度优化与战略规划

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Recent trends of the mining project show that there will be more and more mechanized, large-scale mining operations with complex process options to make low grade deposits economically feasible to develop. The global optimization of large scale, complex mine operations will become more important for the future mining. To serve the industry's future needs, the OptiMine-R software program is developed based on expertise gained at the Colorado School of Mines (CSM) for more than two decades, by using the special solution methodology based on the Mixed Integer Linear Programming (MTLP) technique in the Operations Research (OR). The program has been beta-tested on more than 20 projects as a multi-time period scheduling and cutoff grade optimization tool that handles large scale open pit and underground mining operations involving complex process options, many stockpiles and dumps, blending requirements, and truck hour limitations. In each project, various operational options are evaluated in OptiMine-R to develop strategic planning to help defining company's strategies and directions. This paper demonstrates how the OptiMine? can be used to optimize a large scale, complex production scheduling problem on a case study coming from real world project. The case study describes multi-pit mine production scheduling optimization with pit backfills in such a fashion that acid generating waste rocks are encapsulated to minimize environmental impact.
机译：最近的矿业项目趋势表明，将有更多机械化，大规模采矿业务，具有复杂的流程选项，使低级别存款经济上可行发展。全球优化大规模，复杂的矿井作业对未来采矿将更加重要。为了满足业界的未来需求，通过基于混合整数线性编程（MTLP）的特殊解决方法（MTLP）使用特殊的解决方法，优化-R软件计划是基于在Molorado Mines（CSM）中获得的专业知识开发的专业知识。操作研究中的技术（或）。该计划已在20多个项目中测试了超过20个项目，作为一个多时间期间调度和截止等级优化工具，处理涉及复杂的过程选项的大规模敞篷坑和地下采矿业务，许多库存和垃圾，混合要求和卡车小时限制。在每个项目中，各种操作选项在优化-R中评估，以制定战略规划，以帮助确定公司的策略和方向。本文展示了如何优化？可用于优化大规模，复杂的生产调度问题，案例研究来自现实世界项目。案例研究描述了坑回水中的多坑矿生产调度优化，以这种方式封装酸产生废岩以最小化环境影响。

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