Combining Machine Learning and
Targeted Simulator Training
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At a leading open-pit mine, Cascadia Scientific partnered with Immersive Technologies to launch a cutting-edge fuel efficiency program for haul truck operators. By combining Cascadia’s advanced data analytics and machine learning insights with Immersive’s industry-leading simulator training, the program delivers targeted, actionable coaching that drove measurable improvements in operator performance and fuel consumption. This integrated approach empowers operators to optimize driving techniques in a safe, controlled environment while ensuring continuous improvement out in the field.
Fuel Efficiency Program
1. Identify Underperforming Operators (Cascadia Scientific)
Machine learning models were built to evaluate each operator’s performance. Operators whose performance falls 1 standard deviation below the mean are flagged for progressive coaching.
2. Progressive Coaching Plan
Flagged operators (~16% of the roster) first received a letter; if performance did not improve, they met one-on-one with their manager, and if still below target, they were sent to Immersive Technologies for simulator-based training.
3. Immersive technologies Simulator Training
Targeted fuel efficiency training, delivered through Immersive Technologies simulator programs, were deployed to correct specific operator behaviours.
4. Measure fuel efficiency impact in the field
Post-training data was compared to pre-training performance to quantify real-world gains.
Results
Consistent Results: All 21 trained operators improved their fuel efficiency.
Operator Specific Benefit: 11.85% Fuel Efficiency boost for trained operator.
Haulage Fleet Impact: Training led to a 1% improvement In Fuel Consumption Fleet wide.