July 31, 2025Applied SciencesOpen Access

Prescriptive Maintenance: A Systematic Literature Review and Exploratory Meta-Synthesis

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Prescriptive maintenance faces limitations in deployment, indicating a gap in technology translation from prediction to actionable insights.
Key enablers identified include artificial intelligence and machine learning, emphasizing their importance in maintaining industrial assets effectively.
Systematic literature review compiles data from 2013 to 2024, focusing on advancements and challenges in prescriptive maintenance across sectors.
A structured research agenda proposes integration with Industry 5.0 principles for sustainable and resilient maintenance solutions.

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Implication

Literature review uncovers challenges in prescriptive maintenance adoption, highlighting key enablers like artificial intelligence and machine learning.

Cite This Study

Orošnjak et al. (2025) studied this question.

synapsesocial.com/papers/68af2d76cf1dd9ea359e54b4 https://doi.org/10.3390/app15158507

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Implication

Literature review uncovers challenges in prescriptive maintenance adoption, highlighting key enablers like artificial intelligence and machine learning.

Prescriptive Maintenance: A Systematic Literature Review and Exploratory Meta-Synthesis

Key Points

Discussion

Implication

Cite This Study

Prescriptive Maintenance: A Systematic Literature Review and Exploratory Meta-Synthesis

Key Points

Discussion

Implication

Cite This Study

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