A QUANTITATIVE ANALYSIS OF VHMS PAYLOAD METER PARAMETERS AND THEIR INFLUENCE ON FUEL RATIO AND OPERATIONAL PERFORMANCE HD785-7 DUMP TRUCKS AT PT. ABC

Abstract

A quantitative analysis investigated Vehicle Health Monitoring System (VHMS) payload meter parameters and their influence on fuel ratio and operational performance of HD785-7 dump trucks at PT. ABC. Driven by PT. XYZ need to add customer value amidst declining construction machinery revenue and intense competition, this study addressed fuel consumption, the largest heavy equipment Total Cost of Ownership (TCO) component (55%). PT ABC faced 10% excess fuel consumption and 8% reduced overburden productivity due to VHMS underutilization. Leveraging VHMS data through a systematic framework, the study analyzed correlations and developed a predictive regression model. Key correlation and SHAP value analyses identified empty travel time, idling time, travel speed, loading time, road gradient, and economic mode usage as key fuel ratio influencers. Collaborative interventions yielded significant impacts: a 30.5% decrease in Fuel Ratio (to 0.125 L/ton/km), 23.6% reduction in Idling Time, and 20% decrease in Loading Time. This optimization achieved a ~22% reduction in absolute fuel consumption (75.1 to 58.6 L/h).