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

机译:使用经过修订的4-D网络放松方法的最佳生产规模和露天矿井的调度

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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:虽然一般生产调度问题,但寻求最大限度地提高多周期露天矿山开发项目的现金流量的NPV,可以制定为IP问题,它几乎不由普通PC解决。因此,通过拉格朗日乘法器方法将放宽4-D网络松弛方法,使得问题可以通过LG方法或MAX-FLOW方法解决问题,并且与迭代地融合到最佳方法的子射频方法解决解决方案已经开发出来。 Akaike(1999)提出了一种新的4-D网络弛豫方法,其中还将优化每个块的处理方法,并进一步修改它以降低GAP问题的可能性。算法获得最佳生产规模和算法提出了使用该修正的4-D网络放松方法的规模的生产计划。北美金矿床案例研究显然表现出贴现率对最佳生产规模的影响。花了两天半的几天,以解决129,500个街区的矿体模型的5个月(10年)项目调度问题。

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