Abstract
There are some conventional attribute sampling inspection plans designed with respect to attribute property, such as the proportion of nonconforming items. Among them, the attribute sampling inspection plans with screening are defined under the lot tolerance percent defective (LTPD) inspection scheme and the average outgoing quality limit (AOQL) inspection scheme. On one hand, Taguchi has proposed the concept of quality loss as a measure to evaluate the quality of items based on the variable property instead of the traditional attribute quality evaluation. Hereby, in this article, the design procedures for variable sampling inspection plans with screening indexed by Taguchis quality loss in conformity with the conventional attribute sampling inspection plans with screening composed of the LTPD and AOQL inspection schemes are represented.
| Original language | English |
|---|---|
| Pages (from-to) | 405-418 |
| Number of pages | 14 |
| Journal | International Journal of Production Research |
| Volume | 52 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jan 17 2014 |
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Keywords
- average total inspection
- Patnaik's approximation
- rectifying inspection
- Taguchi's quality loss
- Wilson-Hilferty approximation
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Management Science and Operations Research
- Strategy and Management
Cite this
Variable sampling inspection plans with screening indexed by Taguchis quality loss for optimising average total inspection. / Arizono, Ikuo; Miyazaki, Takuma; Takemoto, Yasuhiko.
In: International Journal of Production Research, Vol. 52, No. 2, 17.01.2014, p. 405-418.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Variable sampling inspection plans with screening indexed by Taguchis quality loss for optimising average total inspection
AU - Arizono, Ikuo
AU - Miyazaki, Takuma
AU - Takemoto, Yasuhiko
PY - 2014/1/17
Y1 - 2014/1/17
N2 - There are some conventional attribute sampling inspection plans designed with respect to attribute property, such as the proportion of nonconforming items. Among them, the attribute sampling inspection plans with screening are defined under the lot tolerance percent defective (LTPD) inspection scheme and the average outgoing quality limit (AOQL) inspection scheme. On one hand, Taguchi has proposed the concept of quality loss as a measure to evaluate the quality of items based on the variable property instead of the traditional attribute quality evaluation. Hereby, in this article, the design procedures for variable sampling inspection plans with screening indexed by Taguchis quality loss in conformity with the conventional attribute sampling inspection plans with screening composed of the LTPD and AOQL inspection schemes are represented.
AB - There are some conventional attribute sampling inspection plans designed with respect to attribute property, such as the proportion of nonconforming items. Among them, the attribute sampling inspection plans with screening are defined under the lot tolerance percent defective (LTPD) inspection scheme and the average outgoing quality limit (AOQL) inspection scheme. On one hand, Taguchi has proposed the concept of quality loss as a measure to evaluate the quality of items based on the variable property instead of the traditional attribute quality evaluation. Hereby, in this article, the design procedures for variable sampling inspection plans with screening indexed by Taguchis quality loss in conformity with the conventional attribute sampling inspection plans with screening composed of the LTPD and AOQL inspection schemes are represented.
KW - average total inspection
KW - Patnaik's approximation
KW - rectifying inspection
KW - Taguchi's quality loss
KW - Wilson-Hilferty approximation
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UR - http://www.scopus.com/inward/citedby.url?scp=84892365941&partnerID=8YFLogxK
U2 - 10.1080/00207543.2013.828175
DO - 10.1080/00207543.2013.828175
M3 - Article
AN - SCOPUS:84892365941
VL - 52
SP - 405
EP - 418
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 2
ER -