322 Figure 13 - 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) VTj> = sÄÅj[WÇ[ÅW[ ( LnÄÉkÉTÑTMN By implementing REM (Remote Equipment Monitoring), we directly reduce the Probability (L) of catastrophic events. The Avoided Cost (s5BC),2,) provided to the client is calculated using the following relationship: s 5BC),2, =ÖsD5>5E>1C&F)D_35)HI12 +sHCE>_&1C,ID>)C$Ü−(s&H5$$2,%&!'()'&!%*& +s-C$)>C1)$7 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). 4.2. Operational Performance and Process Stability The implementation of the Remote Equipment Monitoring (REM) is designed to stabilize operational processes by transforming raw telemetry data into actionable knowledge. Expected outcomes include:(Desmond & Karadjian, 2025) • Availability Increase: Minimizing unplanned equipment downtime through early detection of failure signs. • Standardization: Establishing a standardized 4-tier offering ensures consistency across business units and predictable service levels for the customer. • Data Integrity: The Data Integrity pillar of this Mining 4.0 model leverages high-resolution telemetry (1 to 10Hz) and automated ETL processes to synchronize maintenance health with operational intelligence. By fusing technical alarms, such as "Motor Stalled" or "Overvoltage" events, with granular cycle analysis (swing, crowd, and payload) and operational maneuvers, the system identifies the root causes of equipment stress. This holistic approach ensures that data used for decision-making reflects not only machine condition but also how operational behavior directly impacts component longevity and overall fleet productivity.
RkJQdWJsaXNoZXIy MTM0Mzk2