Research Article
Operational Efficiency Forecasting Model of an Existing Underground Mine Using Grey System Theory and Stochastic Diffusion Processes
Table 3
Input parameters required for simulation 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 | Min. 3.45; medium 4.06; max. 4.68; volatility 0.205 | | Mill recovery rate (%)-uniform distribution | Min. 77; medium 78.5; max. 80; volatility 0.866 | | Metal content of the concentrate (%) | 53.8 | | Metal recovery rate (%) | 85 | | Zinc metal price (USD/t)-mean reversion process |
Spot value 2113; equilibrium metal price 2277; speed of
mean reversion 0.9221; price volatility rate 0.2734 | | Production costs (USD) | | | Unit production costs (USD/t)-geometric Brownian motion | Spot value 65; drift 0.02382; cost volatility 0.09351 | | Working days (day/year) | 330 | 330 | 340 | 340 | 340 | | Degree of use of production capacity (%) | 86 | 90 | 92 | 85 | 93 | | Number of simulations | 500 |
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