## 4 Case Study
### Results  
In mining operations, short-term planning for weekly plans is an iterative and fast process that can be easily handled by proceeding with financial analysis. D-Loss evaluates all slope data and provides results for the diluted overall stope tonnage and grade based on various dilution amounts. In Table 4, the overall tonnage is stated as 89,037 t for the selected three stopes after dilution, which increases to 90,689 t. It is also observed that the overall grade dropped from 32.57% to 30.29% dilution at 8% for Stopes 4, 8, and 10. The same iterative process was applied for 10% and 15% unplanned dilution and reported results, while the loss remained constant.  
When analyzing sublevel stoping, a planned dilution of 8% was applied to stopes 4, 8, and 10. As shown in Figures 13 and 14, the results are presented as a total tonnage and grade comparison.  
The stope tonnage and profit comparison in Table 1 showed that Stope 8 indicated a negative profit for different dilution percentages. In such cases, production from this stope may be postponed, or a stockpile blending strategy could be considered in the short- to mid-term. Additionally, it is critical to note that increasing unplanned dilution from 8% to 15% across these three stopes resulted in an overall stope profit reduction of approximately 5%, which could have a significant impact on the life of the mine.  
The visualization, loss, and dilution, as well as the financial analysis performed versus tonnage and profit analysis, support decision-making in short-term production scheduling. The next step involves evaluating CO2 emissions for total or individual stopes production, which not only contributes to monitoring carbon emissions underground but also helps to improve ventilation efficiency.  
Evaluation of the parameters in Table 1 indicates that unplanned dilution has a critical effect on CO2 emissions. In three stopes, a total production of 214 t of carbon is emitted if production is performed at 8% dilution. When unplanned dilution increases from 8 to 15%, it is recorded that carbon emission increases from 214 t to 228 t in total, which corresponds to a 6.1% increase (Figure 15). As a result of the extra broken waste material being extracted, it increases the number of truck cycles and diesel consumption.  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline  & \multicolumn{2}{c}{**In Situ**} & \multicolumn{2}{c}{**Diluted**} & \multicolumn{1}{c}{**Profit**} & \multicolumn{1}{c}{**Unplanned**} & \multicolumn{1}{c}{**Mining**} & \multicolumn{1}{c}{**CO2**} \\ \hline  & **Tonnage** & **Cr2O3 (\%)** & **Tonnage** & **Cr2O3 (\%)** & **(USD)** & **Dilution** & **Loss (\%)** & **Emission** (t)** \\ \hline Stope 4 & 40,287 & 39.57 & 41,335 & 36.64 & 4,267,959 & 8 & 5 & 96 \\ \hline  & 40,287 & 39.57 & 42,100 & 35.97 & 4,223,638 & 10 & 5 & 98 \\ \hline  & 40,287 & 39.57 & 44,014 & 34.41 & 4,112,836 & 15 & 5 & 103 \\ \hline Stope 8 & 25,468 & 13.01 & 26,130 & 12.05 & \(-\)128,322 & 8 & 5 & 61 \\ \hline  & 25,468 & 13.01 & 26,614 & 11.83 & \(-\)156,339 & 10 & 5 & 62 \\ \hline  & 25,468 & 13.01 & 27,823 & 11.31 & \(-\)226,383 & 15 & 5 & 65 \\ \hline Stope 10 & 23,282 & 41.86 & 23,887 & 38.76 & 2,689,530 & 8 & 5 & 55 \\ \hline  & 23,282 & 41.86 & 24,329 & 38.06 & 2,663,918 & 10 & 5 & 57 \\ \hline  & 23,282 & 41.86 & 25,435 & 36.4 & 2,599,886 & 15 & 5 & 59 \\ \hline \end{tabular}
\end{table}
Table 4: Output from D–Loss for the selected parameters.  
Figure 14: Comparison of total tonnage stope dilution (Stope Number: 4-8-10): in situ values vs. diluted results.  
Figure 13: Applied different stope dilution (%) amounts.  
Figure 15: The CO\({}_{2}\) emissions variation concerning varying dilution amounts.