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Predictive Maintenance 4.0

Predict. Prevent. Profit.

Unplanned machine downtime is a major risk for any company. The time spent locating the issue and the maintenance costs all add up quickly.  

However, these disruptions are both avoidable and predictable.

Many of us have heard about Predictive Maintenance (PdM) for some time now, and for a good reason. Predictive Maintenance addresses these challenges by continuously monitoring equipment through sensors and data analytics. By analyzing data patterns and trends, it is possible to predict when a piece of equipment is likely to fail, allowing maintenance to be performed at the optimal time.  

Now, with advancements in technologies, we can go beyond just being predictive.  

Welcome to Predictive Maintenance 4.0 – the next generation of predictive maintenance. Predictive Maintenance 4.0 integrates the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and machine learning (ML) to create a more intelligent, efficient, and automated maintenance process.

By digitizing legacy assets, not only can you achieve a significant reduction in machine downtime, but through advanced analytics you also gain invaluable insights into your core operations – and even enable the development of new business models.

Discover how we can help you minimize downtime, reduce costs, and keep your operations running smoothly and how Bosch can support you on your journey to Predictive Maintenance 4.0.

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Predictive Maintenance @ Bosch

Your benefits with Predictive Maintenance 4.0

Maintenance cost

going down

Overall Equipment Effectiveness

(OEE)

Machine availability

increases

Learn how to lead your business on its path to Predictive Maintenance 4.0 – talk to our experts!

Kai Hackbarth
Head of Products and Solutions Europe

Oscar Garcia
Principal
Consultant

Predict. Prevent. Profit.

Contact our experts.

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