Research Article
Operational Efficiency Forecasting Model of an Existing Underground Mine Using Grey System Theory and Stochastic Diffusion Processes
Table 13
One simulation path of DOL.
| Parameter | Value | Year | 6 | 7 | 8 | 9 | 10 |
| Production rate (t/year) | 100000 | 105000 | 97000 | 100000 | 110000 | Fixed costs (USD) | 1600000 | 1800000 | 1500000 | 1700000 | 2000000 | Revenues (USD) | | | | | | Ore grade (%)-normal distribution | 4.07 | 3.78 | 4.31 | 4.01 | 3.86 | Mill recovery rate (%)-uniform distribution | 79.27 | 78.54 | 78.62 | 77.71 | 78.32 | Metal content of the concentrate (%) | 53.8 | 53.8 | 53.8 | 53.8 | 53.8 | Metal recovery rate (%) | 85 | 85 | 85 | 85 | 85 | Zinc metal price (USD/t)-mean reversion process | 2025 | 1936 | 2064 | 2409 | 2120 | Revenues (USD) | 13040642 | 12152559 | 13638024 | 15254913 | 14228955 | Production costs (USD) | | | | | | Unit production costs (USD/t)-geometric Brownian motion | 71.56 | 88.33 | 90.77 | 98.01 | 95.87 | Production costs (USD) | 7156388 | 9274793 | 8805646 | 9801869 | 10546252 | Working days (day/year) | 330 | 330 | 340 | 340 | 340 | Degree of use of production capacity (%) | 86 | 90 | 92 | 85 | 93 | ; ; | DOL-AGO | 7.892 | 8.981 | 9.723 | 10.955 | 12.147 | DOL-inverse AGO | 1.346 | 1.089 | 0.742 | 1.232 | 1.192 |
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