August 11, 2025

Streaming Analytics and Predictive Maintenance: Real-Time Applications in Industrial Manufacturing Systems

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A framework integrates streaming analytics and predictive maintenance, enhancing operational efficiency and minimizing downtime.
Real-time applications in manufacturing systems show up to 40% reduction in downtime and 30% cost savings.
A systematic literature review highlights effective PdM algorithms and their implementation across sectors like automotive and aerospace.
The findings support the adoption of Industry 4.0 principles, encouraging manufacturers to deploy analytics for better performance.

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Implication

This analysis reveals the potential of real-time streaming analytics to optimize maintenance in industrial manufacturing, improving efficiency and reducing costs.

Cite This Study

Uddoh et al. (2021) studied this question.

synapsesocial.com/papers/68c236dfb210217d64776478 https://doi.org/10.54660/.ijfmr.2021.2.1.285-291

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Implication

This analysis reveals the potential of real-time streaming analytics to optimize maintenance in industrial manufacturing, improving efficiency and reducing costs.

Streaming Analytics and Predictive Maintenance: Real-Time Applications in Industrial Manufacturing Systems

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Discussion

Implication

Cite This Study

Streaming Analytics and Predictive Maintenance: Real-Time Applications in Industrial Manufacturing Systems

Key Points

Discussion

Implication

Cite This Study