In construction, as in all industrial sectors, equipment maintenance is a key component of the sustainability of production, logistics, transport, etc.
On average, predictive maintenance increases jobsite productivity by 25%, reduces breakdowns by 70% and lowers maintenance costs by 25%.
Predictive maintenance also:
- Maximizes efficiency
- Limits the extent of damages
- Saves money and increases Return of Investment (ROI)
- Reduces maintenance costs
- Improves safety and reliability
Even if the context is beginning to be more favourable to the development of more efficient methods, the transformations to be considered will affect several organizational compartments and this is not always obvious and immediate to put in place.
Here are some examples of solutions from the Impulse Partners ecosystem:
- T2D2 – a self-learning software platform that detects and classifies visible damage to various types of structures and materials.
- Builti – provides a software for predictive maintenance of buildings and infrastructures.
- FieldBox.ai – deploys artificial intelligence in industrial operations to optimize operational excellence and process monitoring through data and algorithms.
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