Robust Design and Analysis for Quality Engineering

Front Cover
Springer, Sep 30, 1996 - Business & Economics - 329 pages
0 Reviews
This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.

What people are saying - Write a review

We haven't found any reviews in the usual places.

References to this book

All Book Search results »

About the author (1996)

Park is a Professor of Computer Science and Statistics at Seoul National University, South Korea.

Bibliographic information