Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications

Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications

Adopting Machine Learning (ML) in manufacturing quality assurance (QA) has accelerated with Industry 4.0, enabling automated defect detection, predictive maintenance, and real-time process optimization. However, selecting the most effective ML model remains challenging due to performance variability...

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Bibliographic Details
Main Authors: Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Array
Subjects:
Machine learning
Quality assurance
Artificial intelligence
Artificial neural networks
Predictive analytics
Process optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000207
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