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Optimum Production Scale and Scheduling of Open Pit Mines Using Revised 4-D Network Relaxation Method

机译:改进的4-D网络松弛法优化露天矿的生产规模和调度

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摘要

Although the general production scheduling problem, which seeks to maximize the NPV of a cash flow of a multi-period open pit mine development project, can be formulated as an IP problem, it can virtually not be solved by ordinary PCs. Therefore, the 4-D network relaxation method, in which production capacity constraints will be relaxed by a Lagrangian multiplier method so that the problem can be solved by LG method or Max-Flow method and in combination with a subgradient method iteratively converged to the optimum solution, has been developed. Akaike (1999) proposed a new 4-D network relaxation method, in which the processing method of each block will also be optimized, and further revised it to decrease the possibility of gap problem generation.The algorithm to obtain the optimum production scale and the production schedule at the scale, using this revised 4-D network relaxation method, is proposed. Case study on a North American gold deposit apparently showed an influence of the discount rate on the optimum production scale. It took two and a half days approximately to solve a 5 period (10 years) project scheduling problem for an ore body model with 129,500 blocks.
机译:尽管寻求将多期露天矿开发项目的现金流的净现值最大化的一般生产计划问题可以表述为IP问题,但普通PC实际上无法解决。因此,采用拉格朗日乘子法来放宽生产能力约束的4-D网络松弛法,从而可以通过LG方法或Max-Flow方法并与次梯度法组合迭代收敛到最优方法来解决该问题。解决方案,已经开发。 Akaike(1999)提出了一种新的4-D网络松弛方法,其中还将优化每个块的处理方法,并对其进行了进一步修改以减少产生间隙问题的可能性。该算法获得了最佳的生产规模和提出了使用修订后的4-D网络松弛方法的大规模生产计划。对北美金矿的案例研究显然显示出贴现率对最佳生产规模的影响。对于具有129,500块的矿体模型,解决了5个时期(10年)的项目调度问题大约花费了两天半的时间。

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