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Predictive Maintenance

Detection, control
and intervention

Predictive maintenance will save companies $630 billion by 2025.

Source McKinsey

Predicting failures before they occur is the challenge of predictive maintenance.
There are different methods to assess the condition of equipment and detect early signs of failure.

Plan and plan an intervention before a failure occurs

A predictive maintenance system allows you to have an overview of your entire equipment fleet.
You have a single interface that allows you to:

Check the condition of the machine park

Visualize the elements necessary for decision making

Plan future interventions

user benefits

The IoT explodes the gains made by Lean.



As Lean matures, it needs new technology to continue to improve productivity.
Among our customers, Lean makes it possible to gain 5% of annual productivity. With the implementation of IoT solutions, productivity gains reach 25%.


more productivity



This indicator characterizes the operating time of a production line without interruption due to a failure.
The average time between two failures is increased by 45% with IoT solutions. The application of Lean only provides 2% extra operating time between two failures.


of the average time between two failures



The principle of predictive maintenance is to avoid unexpected failure.
For example, when a risk of failure is anticipated, the production line can be put into a less restrictive regime that secures the machine concerned until intervention.
Lean reduces the number of production stoppages due to breakdowns by 15%. With IoT, this number of outages due to breakdowns is reduced by 75%.


fewer production stoppages due to breakdowns

Maintenance cost


Anticipating and anticipating failures reduces the cost of working on a machine. For example, thanks to continuous vibration analysis we can recommend putting in a few drops of oil without waiting for a drive shaft to break.
Maintenance costs are reduced by 30% with IoT solutions instead of 7% with Lean.


of maintenance costs are reduced

Source: Actual measurements in production at our customers’ premises

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