William A. Levinson

Statistical Process Control for Real-World Applications (eBook, PDF)

• Format: PDF

Produktbeschreibung

Picking up where the textbooks usually leave off, this book equips readers to deal with non-normal applications scientifically and to explain the methodology to suppliers and customers. It shows how to handle uncooperative real-world processes that do not follow textbook assumptions. The text explains how to set realistic control limits and calculate meaningful process capability indices for non-normal applications. Highlighting the pitfalls of assuming normality for all processes, the book addresses multivariate systems, nested variation sources, as well as lognormal, gamma, and Weibull distributions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 21. Dezember 2010
• Englisch
• ISBN-13: 9781439820018
• Artikelnr.: 38301133

Autorenporträt

William A. Levinson is the owner of Levinson Productivity Systems in Wilkes-Barre, Pennsylvania.

Inhaltsangabe

Introduction. What to Expect From This book. Chapter Overview. Traditional
Control Charts. Statistical Hypothesis Testing. Control Chart Concepts.
Theoretical and Empirical Control Charts. Nonnormal Distributions. Data
Fitting and Verification. Control Chart Construction: Center Line, Control
Limits, and Zone Tests. Process Capability Indices. Nested Normal
Distributions. Calculation of the variance components. Tests for Goodness
of Fit. Control Chart. Process capability indices. Confidence Intervals for
Process Capability Indices. Confidence Intervals for Cp. Confidence
Intervals for CPL and CPU. The Noncentral t Distribution. Confidence
Intervals for Cpk. The Bivariate Noncentral t Distribution. Exact
Confidence Intervals for the Gamma Distribution Cpk. Multivariate Normal
Systems. T' Chart. Calculation of Nonconforming Fraction, and a Capability
Index.