What question did this study set out to answer?

The aim is to develop a framework for Predictive Maintenance 5.0 that integrates human-centric principles with Industry 4.0 technologies.

From predictive maintenance 4.0 to 5.0: bringing humans back into the loop with a self-learning platform and implementation roadmap on automated production lines

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The aim is to develop a framework for Predictive Maintenance 5.0 that integrates human-centric principles with Industry 4.0 technologies.
Utilized real-time data and AI for failure forecasts over short intervals.
Implemented explainable AI dashboards for model interpretation.
Created a decision-support interface for operator feedback.
Developed a roadmap for operational replication in industrial contexts.
Achieved a 20% improvement in overall equipment effectiveness (OEE).
Received positive usability feedback from operators.
Facilitated the integration of humans in maintenance decision-making.
Supported skill development and reduced routine workload for operators.

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Implementation of a self-learning platform improves maintenance decisions in automotive production lines, highlighting human involvement.

Lucantoni et al. (2026) studied this question.

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