Research Article
Operational Efficiency Forecasting Model of an Existing Underground Mine Using Grey System Theory and Stochastic Diffusion Processes
Table 2
Input parameters of observed period.
| | Parameter | Observed period | | Year | | 1 | 2 | 3 | 4 | 5 |
| | DOL | 1.219 | 1.421 | 1.333 | 1.676 | 1.437 | | Production rate (t/year) | 100000 | 95000 | 100000 | 100000 | 100000 | | Fixed costs (USD) | 1200000 | 1500000 | 1100000 | 1400000 | 1600000 | | Revenues (USD) | | | | | | | Ore grade (%) | 4.11 | 3.96 | 4.04 | 3.82 | 3.87 | | Mill recovery rate (%) | 78.52 | 78.01 | 81.05 | 79.02 | 81.56 | | 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) | 2160 | 2195 | 1950 | 1910 | 2160 | Unit value of metal concentrate sales price (USD/t)
| 1836 | 1866 | 1658 | 1624 | 1836 | | Revenues (USD) | 11065884 | 10773877 | 10137834 | 9145279 | 10823137 | | Production costs (USD) | | | | | | | Unit production costs (USD/t) | 43.87 | 60.11 | 57.40 | 56.76 | 55.64 | | Production costs (USD) | 4387000 | 5714000 | 5740000 | 5676000 | 5564000 | | Working days (day/year) | 330 | 310 | 340 | 300 | 320 | | Degree of use of production capacity (%) | 90 | 85 | 93 | 82 | 88 |
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