Predictive Maintenance
Predictive Maintenance helps companies to detect defects and maintenance needs of machines, components, and parts in advance, and to optimally plan maintenance and repairs.
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Reduced downtime – through Predictive Maintenance.
Your way to a data-driven organization
The timing of maintenance, repair, and replacement of machines and vehicles is a central challenge for many companies. Especially sud den defects can disrupt the production process, interrupt supply chains, and cause high repair costs. Predictive Maintenance includes methods and models from statistics and machine learning to detect defects and maintenance needs of devices, vehicles, machines, and systems early on. Accordingly, Predictive Maintenance helps companies to minimize downtime, extend product lifecycles, and reduce operating costs.
Due to the advancing networking of vehicles and machines, Predictive Maintenance has become the central IoT use case for many companies. Historical operating data of the respective machines are collected via sensors and linked to past failures and defects. Mathematical models and algorithms are used to establish patterns and relationships between operating data and failure times. Subsequently, future failures can be predicted based on the currently available data and measurements.
Our data scientists advise you on the development of Predictive Maintenance applications. We develop the necessary models and implement them into your IT environment. Take advantage of the opportunities that Predictive Maintenance offers for your business.
Benefits of Predictive Maintenance
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Minimization of downtime
Early detection of defects or maintenance needs can minimize unexpected downtime of machines and systems.
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Lower repair costs
Regular maintenance of vehicles, machines, and systems before they fail can avoid expensive repairs.
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Longer product life cycle
Proactive maintenance enables the extension of the life cycle of machines, as wear and tear can be remedied early on.
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Cause analysis
Through statistical analyses, influencing factors on the failure of machines and components can be identified.
Use cases for
Predictive Maintenance
Automotive companies can use Predictive Maintenance to avoid early failures of vehicles.
In manufacturing, production machines can be maintained in a timely manner and costly failures can be prevented.
Gas pipelines, power grids, power plants, or wind turbines - Predictive Maintenance can ensure the operation.
Optimizing the maintenance of fleets (trucks, trains, planes) can reduce disruptions and costs.
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Partner & Friends
Benefit from Predictive Maintenance now!
As a leading consulting and development company for Predictive Maintenance, we help you to take full advantage of these technologies. Contact us today to learn how you can benefit.
