Your information systems contain hundreds – if not thousands – of data points that are updated continuously. Managing this tidal wave of information is simplified by using reporting tools to identify exceptions as they occur.
But even if you can respond quickly to incidents and events, the damage already has been done. Today, some fleets are using technology to predict the exceptions in time to intervene and prevent their occurrence.
Two years ago, CCJ described how C.R. England, the nation’s largest refrigerated carrier, implemented the Predictive Performance Services (PPS) advanced risk management platform from FleetRisk Advisors and Qualcomm Enterprise Services. (For more information, see “From art to science,” CCJ April 2008.)
Earlier this month at the Qualcomm Vision 2010 user conference in San Diego, another carrier divulged how it began using PPS in December 2008 to improve driver safety and performance. Management intentionally has hidden certain aspects of the program from its drivers and fleet managers; for this reason, the company wishes to remain anonymous.
As you would expect, this carrier considers all drivers it hires upon completion of orientation and training to be good drivers. But once drivers enter the system, various factors can cause them to make bad judgments. Some factors may arise from a driver’s personal life, while others might relate to the job itself, such as work schedule and pay.
The reasons this carrier implemented PPS were to get an across-the-board consensus of which drivers are really “good” drivers and to predict which drivers are going to make bad judgments in the near future.
To obtain this information, FleetRisk Advisors extracted and analyzed information from more than 1,000 data points to develop predictive models on driver fatigue, retention, safety, worker’s compensation, mpg and out-of-route miles.
