Case Studies
Transportation Success Story
Overview
Analytics & Modeling - Machine Learning | |
Railway & Metro | |
Logistics & Transportation | |
Predictive Maintenance | |
Data Science Services | |
Operational Impact
Within four months of implementing the Aspen Mtell solution, the company was able to prevent 10 major locomotive failures. This was achieved through the foresight alerts provided by the Aspen Mtell Agents, which included prescribed action to prevent the failures. | |
In one instance, even when an engine successfully passed a low-pressure test, the Aspen Mtell application engineer noticed a failure signature and alerted management. A subsequent high-pressure test showed leaks in eight places, preventing an expensive, looming LoR failure. | |
After scaling the Aspen Mtell solution to more than 4,000 locomotives, the company was able to detect failures on 96 engines, resulting in additional major savings. | |
Quantitative Benefit
$10 million in cost savings within the first four months. | |
Prevented almost 100 line-of-road locomotive failures. | |