September 23, 2025Journal of Industrial Engineering and ManagementOpen Access

Predictive maintenance approaches: A systematic literature review

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Integrated predictive maintenance approaches offer more accurate and cost-effective solutions, reducing downtime.
The systematic literature review assesses the strengths of knowledge-based, physics-based, and data-driven methods.
Various maintenance models must be combined to meet Industry 4.0 automation and efficiency goals.
Limited real-world data highlights the need for diverse industrial testing of the proposed integrated model.

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Implication

Systematic literature review evaluates knowledge-based, physics-based, and data-driven models, suggesting an integrated approach for better predictive maintenance outcomes.

Cite This Study

Taoufyq et al. (2025) studied this question.

synapsesocial.com/papers/68d43d68713b0b5dfea7cf93 https://doi.org/10.3926/jiem.8537

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Implication

Systematic literature review evaluates knowledge-based, physics-based, and data-driven models, suggesting an integrated approach for better predictive maintenance outcomes.

Predictive maintenance approaches: A systematic literature review

Key Points

Discussion

Implication

Cite This Study

Predictive maintenance approaches: A systematic literature review

Key Points

Discussion

Implication

Cite This Study

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