Background
A logistics and transportation company in Papua New Guinea has implemented Readi to monitor fatigue risks among its drivers.
The drivers, who live in a town created by the company, must often wake up as early as 3 AM to start their shifts. They transport both people and goods to and from a port located 150 kilometers away.
The drivers wear ReadiWatches while they sleep. The sleep data is then synced to the supervisor's tablet before the start of shift. During the pre-start process, supervisors review driver sleep data to identify drivers at risk of fatigue, allowing them to take preemptive action.
If moderate fatigue risk is identified, fatigue countermeasures can be put in place.
For example, the driver may be stood down for a period of time. The driver may be consulted by the supervisor or their case may be reviewed by HR. They may also be reassigned to local routes. If the fatigue risk is extreme and the driver is deemed impaired, the driver is removed from the roster and replaced with an alternate driver.
Readi's predictive fatigue data enables the logistics and transportation company to take the necessary steps to mitigate fatigue risk well before it occurs on the road to prevent accidents and incidents ahead of time.
Since implementing Readi, the company has been able to mitigate existing risks significantly. Further, fatigue management is now a part of the safety process and is more visible than it's ever been.