MTU Cork Library Catalogue

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World class quality : using design of experiments to make it happen / Keki R. Bhote ; foreword by Dorian Shainin.

By: Bhote, Keki R, 1925-.
Material type: materialTypeLabelBookPublisher: New York : Amacom, 1991Description: xvi, 224 p. : ill. ; 24 cm.ISBN: 0814450539.Subject(s): Quality control -- Statistical methods | Process control -- Statistical methods | Experimental designDDC classification: 658.562
Contents:
Part I: Introduction -- The need for simple, powerful problem-solving tools -- The four stages of quality -- Part II: The design of experiments (DOE): Key to the magic kingdom of quality -- The measurement of process capability -- Variation: An industrial epidemic -- Three approaches to DOE: Classical, Taguchi and Shainin -- Multi-vari charts: To home in on the Red X -- Components search: Easy, surefire clues -- Paired comparisons: The detective method -- Variables search: The Rolls-Royce of variation reduction -- Full factorials: Ideal for quantifying interaction effects -- B vs C: Versatile, Universal tool -- Scatter plots (Realistic tolerance parallelogram plots): For optimization and establishing realistic tolerances -- A case study encompassing a logical sequence of the seven DOE tools -- Part III: Statistical Process Control (SPC) -- Elementary SPC tools -- Control charts vs Precontrol: Horse and buggy vs. the Jet age -- Positrol, process certification and operator certification -- Part IV: The March from passive learning to implementation -- The management and practice of design of experiments.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 658.562 (Browse shelf(Opens below)) 1 Available 00013948
Total holds: 0

Enhanced descriptions from Syndetics:

Quality consultant Bhote presents the Design of Experiments tools of Dorian Shainin, explaining in a clear and nontechnical way how the techniques work and how to apply them to a company's quality problems. Includes case studies and practice exercises. Annotation copyrighted by Book News, Inc., Portland, OR

Includes index.

Part I: Introduction -- The need for simple, powerful problem-solving tools -- The four stages of quality -- Part II: The design of experiments (DOE): Key to the magic kingdom of quality -- The measurement of process capability -- Variation: An industrial epidemic -- Three approaches to DOE: Classical, Taguchi and Shainin -- Multi-vari charts: To home in on the Red X -- Components search: Easy, surefire clues -- Paired comparisons: The detective method -- Variables search: The Rolls-Royce of variation reduction -- Full factorials: Ideal for quantifying interaction effects -- B vs C: Versatile, Universal tool -- Scatter plots (Realistic tolerance parallelogram plots): For optimization and establishing realistic tolerances -- A case study encompassing a logical sequence of the seven DOE tools -- Part III: Statistical Process Control (SPC) -- Elementary SPC tools -- Control charts vs Precontrol: Horse and buggy vs. the Jet age -- Positrol, process certification and operator certification -- Part IV: The March from passive learning to implementation -- The management and practice of design of experiments.

Reviews provided by Syndetics

CHOICE Review

An interesting, useful, and informative book on quality improvement, very important in a free market economy. Part 1 describes four stages of quality; Part 2, the most important, highlights some appropriate aspects of the statistical design of experiments (DOE), a very effective industrial tool for assessing and improving the quality of consumer goods. After discussing briefly the shortcomings of two known DOE techniques (i.e., the classical fractional factorial design technique, and the Taguchi technique using the concept of orthogonal array), Bhote describes at great length the Shainin techniques, which include multivariable charts, paired comparisons, full factorials, variables search, components search, B versus C (B and C are two levels of a variable), and scatter diagrams. Included is a comprehensive case study using these techniques. Part 3 comments on the drawbacks of control charts, also called Statistical Process Control (SPC), and other elementary statistical problem-solving tools, and describes the newer SPC tool, precontrol, which is simple, powerful, and cost effective. The final part urges the implementation of the concepts and practices of DOE/SPC. Very little mathematics is used, and the material is easy to understand. An attractive feature is the case studies and practical exercises. A good addition to the statistical literature. Highly recommended for advanced undergraduates and up.-D. V. Chopra, Wichita State University

Author notes provided by Syndetics

Keki R. Bhote (Glencoe, IL) is president of Keki R. Bhote Associates, a consulting group specializing in quality and productivity improvement.

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