Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence

Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence

Product obsolescence occurs in the manufacturing industry as new products with better performance or improved cost-effectiveness are developed. A proactive strategy for predicting component obsolescence can reduce manufacturing losses and lead to customer satisfaction. In this study, we propose a ma...

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Bibliographic Details
Main Authors: Kyoung-Sook Moon, Hee Won Lee, Hongjoong Kim
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
component obsolescence
diminishing manufacturing sources and material shortages
forecasting
machine learning
unsupervised clustering
Online Access:https://www.mdpi.com/1424-8220/22/20/7982

Internet

https://www.mdpi.com/1424-8220/22/20/7982

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