Industry 4.0 Technologies: The Role of IoT in Predictive Maintenance
Predictive maintenance is more than just a trend in the field of maintenance – it is one of the core components of Industry 4.0, and is strongly linked to the Internet of Things (IoT), as well as as AI and Big Data. In this white paper, we will examine the possibilities of connected factories and sensor-based maintenance management.
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What to Expect
- Important term definitions and detailed explanations
- Information on predictive maintenance
- Guidance for successfully implementing Industry 4.0
- Benefits and possibilities of live tracking
- Including facts & figures from the industry
“Predictive maintenance results in 40% cost savings compared to reactive maintenance and up to 12% savings compared to preventive maintenance.”
Short Summary
The focus is on predictive maintenance as a central element of modern, connected factories. Sensors continuously capture condition data, AI algorithms analyze it, and derive concrete maintenance recommendations before failures occur.
Using a real pilot project, the report illustrates how companies can move step-by-step from traditional maintenance to data-driven processes — including increased equipment availability, better planning, and clearly measurable effects on productivity and costs.
The white paper also shows how a centralized digital maintenance and asset management system helps consolidate machines, tools, vehicles, and relevant employee qualifications in one place, make responsibilities transparent, and simplify the management of maintenance tasks.
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