249 Table 2 - Comparison of Energy Consumption and CO2 Emissions between two methods. Parameter Units No FMS FMS Improveme nt Annual production Ton Moved 11.000.00 0 11.000.000 0% Average Distance Km 2.6 2.6 0% Annual Fuel Consumption Alpha & Charlie Liter 9,948,994 6,912,647 31% Annual Energy Consumption GJ 377,067 261,989 31% Total Emissions Ton CO₂e 29,184.98 20,277.97 31% Total Emissions Intensity (Ton CO₂e)/Ton Moved 0.0025 0.0018 31% Emission Efficiency Ton CO₂e 0.0008 Table 2 shows that FMS implementation reduced fuel consumption, energy use, and CO₂ emissions by 31%, while improving emission intensity from 0.0025 to 0.0018 tons CO₂ per ton moved, confirming significant energy and carbon efficiency gains. Figure 9 presents histograms of digger productivity, truck productivity, and fuel ratio comparing Alpha and Bravo operations, highlighting differences in central tendency and variability. The distributions illustrate improved performance consistency under FMS adoption and complement the inferential statistics summarized in Table 3. (a) (b) (c) Figure 9 - Statistical histogram for Alpha Vs Bravo Comparison statistical treatment test: (a) Digger productivity, (b) Truck productivity, (c) Fuel ratio Independent sample t-tests (Table 3) confirm statistically significant differences between Contractor Alpha and Bravo across digger productivity (t = 2.67, p = 0.021), truck productivity (t = 3.34, p = 0.006), and fuel ratio (t = −3.52, p = 0.005). These results demonstrate that FMS adoption yields statistically robust improvements in equipment productivity and fuel efficiency.
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