Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network

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Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network

Variation in manufacturing process is known to be a major source of poor quality products and variation control is essential in quality improvement. In bivariate cases, which involve two correlated quality variables, the traditional statistical process control (SPC) charts are known to be effective...

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Bibliographic Details
Main Author:	Mohd Ariffin, Ahmad Azrizal
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	TS155-194 Production management. Operations management
Online Access:	http://eprints.uthm.edu.my/1279/ http://eprints.uthm.edu.my/1279/2/AHMAD%20AZRIZAL%20MOHD%20ARIFFIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1279/1/24p%20AHMAD%20AZRIZAL%20MOHD%20ARIFFIN.pdf http://eprints.uthm.edu.my/1279/3/AHMAD%20AZRIZAL%20MOHD%20ARIFFIN%20WATERMARK.pdf

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