Figure 28 - Economic results obtained The integration of the Mining 4.0 model—specifically leveraging Komatsu’s REM (Remote Equipment Monitoring) and KMAP digital products—transforms raw telemetry into a proactive financial strategy. By utilizing factory-implemented services, the operation shifts from reactive troubleshooting of isolated alarms, such as events, to a predictive ecosystem that safeguards the mine's most expensive assets. This transition ensures that technical anomalies are not just recorded but are intercepted before they manifest as significant production losses. Figure 29 - Operation and economic impact 4.1. Economic Impact: Avoided Costs and Risk Mitigation Maintenance is fundamentally a risk management discipline. As established in the research, risk is defined by the following equation:(Lin et al., 2021a, 2021b) = By implementing REM (Remote Equipment Monitoring), we directly reduce the Probability ( ) of catastrophic events. The Avoided Cost ( ) provided to the client is calculated using the following relationship: =( ℎ _ + _ )−( + Practical Application: • Scenario A (Reactive): A catastrophic engine failure costs approximately $500,000 USD in parts and labor, plus 72 hours of downtime. • Scenario B (Predictive): A REM alert identifies a sensor malfunction or a cooling deviation. The intervention costs $5,000 USD and takes 4 hours. • Result: The client achieves a cost reduction of over 90% for that specific failure event, significantly improving the Mean Time Between Failure (MTBF).(Saxena et al., 2008).
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