Impact of machine learning on spare parts availability for critical medical devices: a supervised machine learning perspective

Purpose – This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of failure mode and effects analysis (FMEA) and supervised machine learning (ML) approaches to predictive spare parts management. The paper aims to reduce...

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Bibliographic Details

Main Authors:	F. H. P. A., Dattu, Syed Tarmizi, Syed Shazali, S.J., Tanjong, Nurlaila, Rosli, Abdul Rani, Achmed Abdullah
Format:	Article
Language:	en
Published:	Emerald Publishing Limited 2025
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://ir.unimas.my/id/eprint/51614/3/Impact%20of%20machine.pdf http://ir.unimas.my/id/eprint/51614/ https://www.emerald.com/ijhcqa/article-abstract/doi/10.1108/IJHCQA-05-2025-0063/1328033/Impact-of-machine-learning-on-spare-parts?redirectedFrom=fulltext https://doi.org/10.1108/IJHCQA-05-2025-0063
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