عنوان مقاله [English]
The scattering and uncertainty of the Ore grades data, are the important parameters in the design of open pit mines, as they have considerable effect in estimating the economic value of the extraction process. Because the purpose of any economic activity is to achieve maximum benefit, the uncertainty as a negative value, which is considered as equivalent costs, have negative effect on the other economic parameters in mining operations. In this paper, to investigating the impact of grades uncertainty on the push-backs designing of Chadormalu Iron Mine, the Gholamnejad Heuristic algorithm (2005) is described at first, then considering the difference between the mean grades in the each block to the mining cut-off grade, the algorithm is corrected and a new economic relation, proposed. In the new relationship, economic value of the the blocks can estimated more logically. Then, using a three-dimensional floating cone in the PLP macro, the results of economic calculations for the net values, shows the two major designs for the mine cavity. Based on these results, for certainty up to 81 percent the the cavity has single set of designs, and from 81 to 100 percent of certainty another set of mining advanced planing is achived. The results indicate that the mine cavity design using the new relationship, considering the difference of the average grade of the block to the mining cut-off grade, In addition to the impact of scattering of the data, have positive impact on the economic calculations and can estimate values more real.
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