247 (a) (b) Figure 3 - Truck and Digger Productivity: (a). Alpha, (b). Bravo Figure 4 shows a significant productivity improvement following FMS implementation by Charlie. After transitioning from conventional to FMS operations, average truck productivity increased by 29.7% (22.56 to 29.26 tons/hr/km; Figure 3a), while digger productivity improved by 45.2% (45.18 to 65.58 tons/hr; Figure 3b). These results indicate that FMS adoption substantially enhances operational productivity. The sustained upward trends after implementation further suggest improved dispatch coordination, reduced idle time, and more stable production performance over time. Moreover, the parallel improvements across both hauling and loading equipment indicate better fleet matching and system-wide efficiency rather than isolated equipment gains. (a) (b) Figure 4 - Truck and Digger Productivity Charlie: (a). Truck, (b). Digger Figure 5(a) shows that Bravo recorded a higher average Match Factor (1.13) than Alpha (0.88), indicating greater truck queuing and fleet imbalance. Figure 5(b) demonstrates that Charlie’s MF decreased and stabilized after FMS implementation, declining from 1.20 - 1.59 pre-FMS to 1.06–1.08 post-FMS, reflecting improved fleet alignment and reduced idle time through digital dispatch optimization. (a) (b) Figure 5 - Fleet Match Factor: (a) Trend comparison between alpha and bravo, (b) Charlie trend Figure 6(a) shows that Bravo recorded a higher average fuel consumption ratio (0.33 L/ton/km) than Alpha (0.22 L/ton/km) from August 2023 to February 2025, indicating superior fuel efficiency under FMS-enabled operations. Figure 6(b) demonstrates that Charlie’s fuel ratio declined markedly following FMS implementation, decreasing from 0.95–0.85 in the pre-FMS period to 0.79 in September and 0.69 in October, representing a 27% improvement. These results confirm that FMS adoption substantially reduces fuel intensity per ton-kilometer, with direct implications for cost and emission reduction.
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