Fatigue Science develops 'predictive maintenance for humans'

Human performance analytics company Fatigue Science has launched new software that aims at predicting risks and performance issues caused by tiredness up to two weeks in advance.
Fatigue Science develops 'predictive maintenance for humans' Fatigue Science develops 'predictive maintenance for humans' Fatigue Science develops 'predictive maintenance for humans' Fatigue Science develops 'predictive maintenance for humans' Fatigue Science develops 'predictive maintenance for humans'

Process changes ensure more workers are performing key tasks in the "low fatigue zone"

The 14-Day Fatigue Forecasting solution offers companies the chance to identify where and when workers are likely to become fatigued in the next two weeks. Supervisors can plan critical tasks for the times of least fatigue, and advise workers using data-backed guidance.

It then prompts operators to develop proactive planning measures and proactive safety-critical actions.

"Our customers across heavy industry, military, and elite sports have long understood that the further in advance they identify fatigue challenges, the more effectively they can prepare for and manage it," says Andrew Morden, president and chief executive of Fatigue Science.

"Fatigue forecasting is akin to predictive maintenance, which enables operations teams to plan the future with greater certainty, before critical needs arise."

Morden said mining customers had made process changes to ensure more workers are performing key tasks in the "low fatigue zone", after being shown data revealing the productivity gains possible when fatigue was managed for haul truck or mining shovel operators.

Superintendents can assess the fatigue forecast of all the crews they manage, and ensure that crew supervisors are aware of which days their crew is likely to face the highest fatigue levels.

"From a supervisor's perspective, it's more than just an eye-opener - it provides specifically actionable data that enables you to match workers to the appropriate task at the optimal time," said Robert Higdon, VP of product & corporate development.