Joglekar Statistical Methods for Six Sigma

In R&D and Manufacturing
1. Auflage 2003
ISBN: 978-0-471-46537-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 344 Seiten, E-Book

A guide to achieving business successes through statistical methods
Statistical methods are a key ingredient in providing data-basedguidance to research and development as well as to manufacturing.Understanding the concepts and specific steps involved in eachstatistical method is critical for achieving consistent andon-target performance.
Written by a recognized educator in the field, StatisticalMethods for Six Sigma: In R&D and Manufacturing is specificallygeared to engineers, scientists, technical managers, and othertechnical professionals in industry. Emphasizing practicallearning, applications, and performance improvement, Dr. Joglekar?stext shows today?s industry professionals how to:
* Summarize and interpret data to make decisions
* Determine the amount of data to collect
* Compare product and process designs
* Build equations relating inputs and outputs
* Establish specifications and validate processes
* Reduce risk and cost-of-process control
* Quantify and reduce economic loss due to variability
* Estimate process capability and plan process improvements
* Identify key causes and their contributions to variability
* Analyze and improve measurement systems
This long-awaited guide for students and professionals inresearch, development, quality, and manufacturing does not presumeany prior knowledge of statistics. It covers a large number ofuseful statistical methods compactly, in a language and depthnecessary to make successful applications. Statistical methods inthis book include: variance components analysis, variancetransmission analysis, risk-based control charts, capability andperformance indices, quality planning, regression analysis,comparative experiments, descriptive statistics, sample sizedetermination, confidence intervals, tolerance intervals, andmeasurement systems analysis. The book also contains a wealth ofcase studies and examples, and features a unique test to evaluatethe reader?s understanding of the subject.

Autoren/Hrsg.

Joglekar, Anand M.

Inhaltsverzeichnis

1. Introduction.
2. Basic Statistics.
2.1 Descriptive Statistics.
2.2 Statistical Distributions.
2.3 Confidence Intervals.
2.4 Sample Size.
2.5 Tolerance Intervals.
2.6 Normality, Independence and Homoscedasticity.
3. Comparative Experiments and Regression Analysis.
3.1 Hypothesis Testing Framework.
3.2 Comparing Single Population.
3.3 Comparing Two Populations.
3.4 Comparing Multiple Populations.
3.5 Correlation.
3.6 Regression Analysis.
4. Control Charts.
4.1 Role of Control Charts.
4.2 Logic of Control Limits.
4.3 Variable Control Charts.
4.4 Attribute Control Charts.
4.5 Interpreting Control Charts.
4.6 Key Success Factors.
5. Process Capability.
5.1 Capability and Performance Indices.
5.2 E stimating Capability and Performance Indices.
5.3 Six-Sigma Goal.
5.4 Planning for Improvement.
6. Other Useful Charts.
6.1 Risk-based Control Ch arts.
6.2 Modified Control Limit Chart.
6.3 Moving Average Control Chart.
6.4 Short Run Control Charts
6.5 Charts for Non-Normal Distributions.
7. Variance Components Analysis.
7.1 Chart (Random Factor).
7.2 One-way Classification (Fixed Factor).
7.3 Structured Studies and Variance Components.
8. Quality Planning with Variance Components.
8.1 Typical Manufacturing Application.
8.2 Economic Loss Functions.
8.3 Planning for Quality Improvement.
8.4 Application to Multi-Lane Manufacturing Process.
8.5 Variance Transmission Analysis.
8.6 Application to a Factorial Design.
8.7 Variance Components and Specifications.
9. Measurement Systems Analysis.
9.1 Statistical Properties of Measurement Systems.
9.2 Acceptance Criteria.
9.3 Calibration Study.
9.4 Stability and Bias Study.
9.5 Repeatability and Reproducibility (R&R) Study.
9.6 Robustness and Intermediate Precision Studies.
9.7 Linearity Study.
9.8 Method Transfer Study.
9.9 Calculating Significant Figures.
10. What Color is Your Belt?
10.1 Test.
10.2 Answers.
Appendix A: Tail Area of Unit Normal Distribution.
Appendix B: Probability Points of the t Distribution withv Degrees of Freedom.
Appendix C: Probability Points of the x²Distribution with v Degrees of Freedom.
Appendix D1.k Values for Two-Sided Normal ToleranceLimits.
Appendix D2.k Values for One-Sided Normal ToleranceLimits.
Appendix E1: Percentage Points of the F Distribution:Upper 5% Points.
Appendix E2: Percentage Points of the F Distribution:Upper 2.5% Points.
Appendix F: Critical Values of Hartley's Maximum F Ratio Testfor Homogeneity of Variances.
Appendix G: Table of Control Chart Constants.
Glossary Of Symbols.
References.
Index.

Über Autor(innen)

ANAND M. JOGLEKAR, PhD, is the President of Joglekar Associates, Inc., which provides education, consulting, and software to help companies achieve business successes through the application of statistical methods. He received his PhD in engineering with extensive statistics education from the University of Wisconsin, Madison. As a practicing engineer-statistician he has implemented statistical methods in various functions within a company to accelerate development, achieve high quality, and reduce cost. He has taught statistical methods to thousands of industry participants through in-house seminars or seminars sponsored by industry associations such as the Institute of Food Technologists. His clients include major companies in automotive, biotechnology, computer, defense, food, medical device, mining, packaging, pharmaceutical, semiconductor, and many other industries.