Enhancing manufacturing process by predicting component failures using machine learning
Manufacturers customize computer components upon receipt of sale orders. They perform burn-in tests on each unit of product before shipment to ensure a high standard of quality. Burn-in is normally associated with high production costs and slows down manufacturing operations. This study aims to enha...
Saved in:
Main Authors: | Saadat, Raihanus, Syed Mohamad, Sharifah Mashita, Azmi, Athira, Keikhosrokiani, Pantea |
---|---|
Format: | Article |
Published: |
Springer
2022
|
Online Access: | http://psasir.upm.edu.my/id/eprint/101274/ https://link.springer.com/article/10.1007/s00521-022-07465-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Genealogy Of Human Resource Management: Traditions, Transformations, Optimization Through Information Technology
by: Keikhosrokiani, Pantea, et al.
Published: (2017) -
Prediction of Machine Failure by Using Machine Learning Algorithm
by: Fakhrurazi, Nur Amalina
Published: (2019) -
Failure Model Prediction Using Machine Learning Techniques
by: BZaki, Imanul ‘Aqilah
Published: (2022) -
Failure Analyse Prediction of Bolts Component Using Probality Method
by: F. R. M., Romlay, et al.
Published: (2008) -
Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
by: Wah, Yap Bee, et al.
Published: (2023)