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Four-Dimensional Network Relaxation Method for Long-Term Open Pit Mine Scheduling

机译:露天矿长期调度的四维网络松弛方法

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The four-dimensional (4D) network relaxation method, originally developed by Akaike in 1999,rnuses Lagrange relaxation and is known for its ability to include the price change and possible betterrnoutputs, but the computation time is huge. However, the continuous advancement in computerrntechnologies allows the use of higher-speed computers with more memory capacity. Therefore, inrnthis paper the authors have tried to implement the method with adjustments and improvementsrnin its algorithm to suit the current computing system. As a result, the computation time has beenrndrastically reduced and more constraints can be included, which makes the scheduling a morernrealistic one. The case study of an open pit gold mine with 129 500 blocks can be solved consideringrnthe capacity constraints in 71 seconds. In previous case studies, the mined ore had to be processedrnor disposed of immediately. Now, stockpiling can be included as another option. Since the details ofrnthe algorithm are still being improved, the computation time is a little longer than the previous casesrnwithout the stockpiling option. However, it is found that scheduling with the stockpiling option isrnpossible in a reasonable time. In conclusion, the 4D network relaxation method has become morernuseful with advances in computer technologies and provides better results.
机译:最初由Akaike于1999年开发的四维(4D)网络松弛方法使用了拉格朗日松弛方法,并且以其能够包含价格变化和可能更好的输出而闻名,但计算时间却很长。但是,计算机技术的不断进步允许使用具有更多存储容量的高速计算机。因此,在本文中,作者试图通过对其算法进行调整和改进来实现该方法,以适应当前的计算系统。结果,极大地减少了计算时间,并且可以包含更多的约束,这使得调度更加现实。考虑到容量限制在71秒内,可以解决一个具有129 500个区块的露天金矿的案例研究。在以前的案例研究中,必须立即对开采的矿石进行处理或处置。现在,可以将库存作为另一个选择。由于算法的细节仍在改进中,因此与没有存储选项的情况相比,计算时间要长一些。但是,发现在合理的时间内使用库存选项进行计划是不可能的。总之,随着计算机技术的进步,4D网络松弛方法变得越来越有用,并提供了更好的结果。

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