OPTIMIZING DUMP TRUCK UTILIZATION THROUGH VHMS-INTEGRATED FLEET MANAGEMENT SYSTEM: A CASE STUDY AT PT XYZ, EAST KALIMANTAN

Abstract

This research aims to improve dump truck utilization at PT XYZ, a coal mining contractor in East Kalimantan, by integrating data from the Vehicle Health Monitoring System (VHMS) into the Fleet Management System (FMS). The company has experienced high idle time, delayed maintenance, and low equipment availability due to the lack of integrated, real-time data in its daily operations. A descriptive–quantitative case study using the DMAIC framework was conducted to analyze these issues, identify root causes, and develop a dispatching model based on VHMS parameters. The model was implemented and tested on 62 haul trucks between January 2023 and June 2025, resulting in a significant reduction in idle time (from 14.65% to 11%), improved fuel efficiency, and increased productivity. In addition, the application of OPAS and idle alerts strengthened operator discipline and improved real-time responsiveness in dispatch activities. These results demonstrate that the integration of VHMS and FMS not only supports more efficient decision-making and operational performance but also plays a strategic role in driving digital transformation within mining logistics systems.