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Quality Control, Robust Design, and the Taguchi Method (Paperback, Softcover reprint of the original 1st ed. 1989)
Loot Price: R2,898
Discovery Miles 28 980
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Quality Control, Robust Design, and the Taguchi Method (Paperback, Softcover reprint of the original 1st ed. 1989)
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In 1980, I received a grant from Aoyama-gakuin university to come
to the United States to assist American Industry improve the
quality of their products. In a small way this was to repay the
help the US had given Japan after the war. In the summer of 1980, I
visited the AT&T Bell Laboratories Quality Assurance Center,
the organization that founded modern quality control. The result of
my first summer at AT&T was an experiment with an orthogonal
array design of size 18 (OA18) for optimization of an LSI
fabrication process. As a measure of quality, the quantity
"signal-ta-noise" ratio was to be optimized. Since then, this
experi mental approach has been named "robust design" and has
attracted the attention of both engineers and statisticians. My
colleagues at Bell Laboratories have written several expository
articles and a few theoretical papers on robust design from the
viewpoint of statistics. Because so many people have asked for
copies of these papers, it has been decided to publish them in a
book form. This anthology is the result of these efforts. Despite
the fact that quality engineering borrows some technical words from
traditional design of experiments, the goals of quality engineering
are different from those of statistics. For example, suppose there
are two vendors. One vendor supplies products whose quality
characteristic has a normal distribution with the mean on target
(the desired value) and a certain standard deviation.
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