“Production time was not affected with these improvements and we believe, with a conservative estimate, we can save $500,000 per year through this training initiative.”
Within the mining industry it is becoming increasingly important to focus on fuel preservation to control the cost of production as well as to meet increasingly stringent environmental requirements. Immersive Technologies has worked closely with major miners and Original Equipment Manufacturers to deliver a solution designed to give equipment operators the skills and knowledge they need to operate in a productive manner while assessing and eliminating behaviors that cause excess fuel consumption.
The simulator technology includes detailed monitoring of operator behaviors which directly relate to excess fuel consumption including levels of throttle and brake application for specific situations. This has resulted in an enhanced assessment tool for managers to determine which fuel inefficient operator behaviors are most prevalent on their site and represent the greatest opportunities for savings.
Surface Mining Operations, Indonesia
Site was over budget on monthly fuel consumption costing the site an additional $100,000 USD per year. After simulation training fuel consumption over a four month period was reduced by 6.9% below the site budget, saving the site an estimated $500,0000 USD annually
Mining Services Provider, Australia
The company set an initiative to address rising fuel costs & greenhouse gas emissions using Advanced Equipment Simulators and Training Systems Integration from Immersive Technologies. Historical fuel consumption rates were benchmarked and operators were randomly assigned to either a training or control group. The training group received simulator based sessions targeting several common operating errors including aggressive throttle application, aggressive braking and speed control. The control group received no instruction. A comparison between pre-training and post-training fuel consumption demonstrated a 6.3% greater improvement in fuel consumed per kilometer in the training group than the control group.