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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | 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 |