Eric Yamamoto
My name is Eric Yamamoto, and my work focuses on the optimization of surface mining operations through the deployment of intelligent fleet management systems (FMS). With a background in mining engineering and operations analytics, I specialize in integrating advanced data-driven technologies to enhance productivity, safety, and efficiency across the mining value chain. In an industry where operational margins are tight and environmental scrutiny is growing, smart fleet coordination has emerged as a critical lever for unlocking both economic and sustainable performance.
My research and field experience involve implementing intelligent FMS platforms that leverage GPS tracking, real-time telemetry, AI-based dispatching, and predictive maintenance across haul trucks, excavators, and loaders. These systems provide automated optimization of cycle times, reduce idle hours, and balance equipment utilization. I also work with digital twins and edge computing to simulate fleet behavior under varying geological and logistical constraints. My focus is on tailoring solutions to diverse mine layouts and scales, ensuring that fleet operations remain adaptive, reliable, and cost-effective.


Smart fleet management transforms mining from a reactive to a proactive industry. By harnessing machine learning and real-time data, FMS platforms enable faster decision-making, improved fuel efficiency, reduced emissions, and lower maintenance costs. Moreover, integration with enterprise resource planning (ERP) and mine planning tools ensures cross-functional alignment—from pit design to processing plant throughput. I believe that intelligent fleet systems are not merely operational aids, but strategic assets that directly influence the value chain from resource extraction to market delivery.
Looking forward, my vision is to scale next-generation fleet management systems that incorporate autonomous haulage, 5G-enabled connectivity, and AI-driven risk forecasting. I am currently exploring collaborative control platforms that coordinate mixed fleets of manned and unmanned vehicles while maintaining system resilience in dynamic mining conditions. Through partnerships with mining operators, OEMs, and software providers, I aim to help build fully digitized, responsive mining ecosystems—where operational excellence, safety, and sustainability are achieved through intelligent fleet orchestration.


Mining Optimization
Enhancing efficiency through advanced data and AI technologies.
Digital Twin
Modeling mine operations for improved decision-making.
Forecasting Models
Utilizing AI to predict fuel usage and ETAs.
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