A DYNAMIC LEARNING MODEL FOR ON-LINE QUALITY CONTROL USING THE TAGUCHI APPROACH
作者:
H. R. RAO,
M. V. THIRUMURTHY,
R. RAMESH,
期刊:
Applied Artificial Intelligence
(Taylor Available online 1992)
卷期:
Volume 6,
issue 4
页码: 459-484
ISSN:0883-9514
年代: 1992
DOI:10.1080/08839519208949967
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An important philosophy of quality control due to Taguchi rests on the belief that, once quality is designed into the product and the process, very little inspection is necessary. Taguchi evaluates quality in terms of costs incurred, including inspection and adjustment costs apart from quality loss. Using these costs, he determines an optimal interval for periodic inspection of products. At each inspection, the first item on the process line is checked for defects. If no defects are found, the process is assumed to be under control. On the other hand, if the first item turns out to be defective, the process is immediately stopped and adjusted. The underlying assumption here is that, once a defect is observed, it is construed that the process has drifted and all subsequent items are defective.
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