## 4 Results
### Predictions of Ore Productions by Stochastic Discrete Event Simulation  
The actual production in the field and the simulation results were compared. In the designated study area, the simulation parameters were set and simulations with two 30 ton trucks and an operating time of 350 min were conducted, as shown in the data for 16 October. The TCT was used as the input in the Monte Carlo simulation as the  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Loading Point**} & \multirow{2}{*}{**Statistics**} & \multicolumn{6}{c}{**Truck Travel Time**} \\ \cline{3-6}  & & **TEu** & **TLu** & **TLs** & **TEs** & **LT** \\ \hline \multirow{4}{*}{203} & Mean (min) & 0.93 & 1.10 & 5.55 & 7.58 & 7.58 \\  & Min (min) & 0.57 & 0.75 & 4.02 & 2.72 & 3.58 \\  & Max (min) & 2.27 & 1.95 & 8.98 & 44.37 & 21.95 \\  & STD (min) & 0.27 & 0.23 & 0.92 & 9.82 & 3.73 \\  & Kurtosis & 7.14 & 4.33 & 3.70 & 7.09 & 3.19 \\ \hline \multirow{4}{*}{233} & Mean (min) & 9.47 & 10.17 & 5.48 & 3.75 & 4.25 \\  & Min (min) & 5.52 & 8.05 & 4.03 & 2.43 & 2.08 \\  & Max (min) & 23.08 & 11.85 & 8.18 & 6.55 & 20.55 \\  & STD (min) & 3.32 & 0.73 & 0.77 & 0.92 & 2.57 \\  & Kurtosis & 4.46 & 0.23 & 4.01 & 2.18 & 26.67 \\ \hline \multirow{4}{*}{235} & Mean (min) & 7.20 & 10.97 & 5.52 & 4.63 & 5.75 \\  & Min (min) & 5.77 & 9.57 & 4.78 & 3.07 & 0.63 \\ \cline{1-1}  & Max (min) & 13.62 & 14.25 & 8.00 & 11.32 & 19.17 \\ \cline{1-1}  & STD (min) & 1.85 & 1.32 & 0.63 & 2.07 & 3.95 \\ \cline{1-1}  & Kurtosis & 28.00 & 28.00 & 27.00 & 23.00 & 28.00 \\ \hline \multirow{4}{*}{237} & Mean (min) & 6.52 & 7.98 & 5.30 & 3.50 & 5.52 \\ \cline{1-1}  & Min (min) & 4.72 & 6.42 & 4.72 & 2.70 & 3.53 \\ \cline{1-1}  & Max (min) & 11.30 & 9.23 & 6.43 & 6.23 & 16.57 \\ \cline{1-1}  & STD (min) & 1.27 & 0.62 & 0.42 & 0.68 & 3.38 \\ \cline{1-1}  & Kurtosis & 7.90 & 0.23 & 0.90 & 10.47 & 4.18 \\ \hline \hline \end{tabular}
\end{table}
Table 4: Results of the statistical analysis of the truck travel time measured using the big data.  
time obtained for each uniform distribution, that is, triangular, normal, and observed probability distribution.  
The simulation results indicated the production volumes of P10, P50 and P90. P10 represents the value of the lower 10% ore production, P50 represents a production rate lower than 50%, and P90 represents a simulated rate lower than 90%. If we cross-check the results with the P10 values, we can conclude that the ore production is low, while P50 and P90 are the average and high production volumes, respectively. In all four probability density functions, we confirmed that the actual field data are located within the range of the simulation results. The uniform and the triangular distribution models exhibited similar results for the actual and simulated results of P90. The overall prediction result was lower than that of the actual data. It was determined that the truck cycle time was generated longer than the actual truck cycle time owing to the distribution of the probability density function when the truck cycle time was generated. Conversely, the normal distribution and observed probability distribution models displayed results similar to that of the actual values and P50 as a result of the simulation (Figure 8).  
Figure 7: Histogram and cumulative relative frequency graphs of the truck travel time for each loading point.