Statistical Methods for Testing, Development, and Manufacturing

by Forrest W. Breyfogle III

Overview

Clearly illustrates how established techniques can be easily understood and used with a sample size that is smaller than normally envisioned. Provides solutions to complex industrial problems by demonstrating how to define the problem and evaluate it statistically with the aim of accelerating product design testing that requires fewer samples and offers more information with less test effort. Along with examples, it contains detailed additional material presented in tabular form for both easy reference and cross-reference.

Product Details

ISBN-13:	9780471540359
Publisher:	Wiley
Publication date:	04/16/1992
Pages:	544
Product dimensions:	6.50(w) x 9.45(h) x 1.38(d)

About the Author

Forrest Breyfogle III is a management consultant, the CEO of consultant and training company Smarter Solutions, Inc. He was the developer of the Integrated Enterprise Excellence system.

Table of Contents

Partial table of contents:

MANAGEMENT PHILOSOPHY AND BASIC STATISTICAL CONCEPTS.

Managing Problem Solving, Decision Making, and ProcessImprovement.

Probability and Hazard Plotting.

Distributions and Statistical Processes.

SOLVING DEFINED PROBLEMS.

Inferences: Continuous Response.

Comparison Tests.

Reliability Testing: Repairable System.

Factorial Experiments and Variance Components Analysis:Concepts/Designs.

Factorial Experiments and Variance Components: ComputerAnalyses.

Factorial Experiments: Taguchi Contributions.

Response Surface and Mixture Designs.

Pass/Fail Functional Testing.

Analyses of Processes.

COMBINING VARIOUS STATISTICAL CONCEPTS AND OTHER IMPLEMENTATIONTOOLS.

Determining the Needs of the Customer.

Development and Manufacturing Process Improvement &‘grave;Tools''.

Examples with Do-It-Smarter Considerations.

Appendices.

References.

Indexes.

Editorial Reviews

Text shows development and manufacturing engineers and managers how to apply statistical methods and techniques to the design, development, and testing of new products, without relying on complex mathematics. The final section offers practical applications of statistical concepts and tools using real world examples. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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