Statistical methods for quality improvement
Author(s)
Bibliographic Information
Statistical methods for quality improvement
(Wiley series in probability and mathematical statistics, . Applied probability and statistics)
Wiley, c1989
Available at 35 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes index
Description and Table of Contents
Description
This up-to-date survey of statistical quality control reviews basic probability and statistics, basic control chart principles (including cumulative sum procedures and multivariate charts), and provides insight into statistically designed experiments and related topics. It also reviews the use of statistics in quality control in the US and Japan, with a critical examination of Taguchi methods. The approach is conceptual rather than mathematical, making this book accessible to a wide audience. The text has been designed for statisticians, engineers, production and operations managers.
Table of Contents
- Part 1 Fundamental quality control and statistical concepts: Japan's approach to quality
- basic concepts in statistics and probability. Part 2 Control charts and process capability: introduction to control charts
- control charts for measurements with subgrouping (for one variable)
- control charts for measurements without subgrouping (for one variable)
- process capability
- control charts for attributes
- multivariate control charts for measurement data
- miscellaneous control chart topics. Part 3 Beyond control charts - graphical and statistical methods: graphical methods
- linear regression
- design of experiments
- Taguchi methods and related procedures
- evolutionary operation
- analysis of means.
by "Nielsen BookData"