Predictive Analytics

摘要

MANY ORGANIZATIONS USE MILEAGE and/or months-in-service to determine when to cycle their assets. This method, however, doesn't take into account the great variation in vehicle usage that can occur across a fleet or how the vehicle may have been driven. This is where predictive analytics and leveraging big data can give fleet managers a clearer picture of the condition of their vehicles by using a model that incorporates factors such as maintenance history, driver behavior, age, and mileage. NAFA Regular Member Bob McElheney, CAFM®, Director, Vehicle and Equipment Services for the City of Newport News, Va., said his team bases many replacement decisions on a vehicle-by-vehicle basis by examining the type of asset and how it is used.