Predictive Asset Management

Predictive Asset PicturesThe Client

Major fleet management company

The Challenge

The maintenance division was looking for greater insight into assets that have experienced engine failure and develop actions to improve maintenance processes from these insights.

The Approach

  • Worked with maintenance team to determine relevant data sources for evaluation
  • Determined problem definition and predictive modeling framework
  • Combined data sources to create predictive modeling data set
  • Constructed competing predictive models to evaluate engine failure
  • Validated models using out of sample data
  • Summarized findings from predictive models for the maintenance organization
  • Developed predictive analytics roadmap for the organization

The Solution

  • Worked with maintenance team to determine relevant data sources create predictive modeling framework within the maintenance organization
  • Developed predictive models to detect engine failures using daily asset reports
  • Developed predictive analytics roadmap for the maintenance organization