Statistical Methods for Testing, Development, and Manufacturing

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.

Spis treści:
Partial table of contents:
MANAGEMENT PHILOSOPHY AND BASIC STATISTICAL CONCEPTS.
Managing Problem Solving, Decision Making, and Process Improvement.
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: Computer Analyses.
Factorial Experiments: Taguchi Contributions.
Response Surface and Mixture Designs.
Pass/Fail Functional Testing.
Analyses of Processes.
COMBINING VARIOUS STATISTICAL CONCEPTS AND OTHER IMPLEMENTATION TOOLS.
Determining the Needs of the Customer.
Development and Manufacturing Process Improvement ``Tools′′.
Examples with Do–It–Smarter Considerations.
Appendices.
References.
Indexes.