Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement - Springer Texts in Statistics (Paperback)
  • Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement - Springer Texts in Statistics (Paperback)
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Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement - Springer Texts in Statistics (Paperback)

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Paperback 437 Pages / Published: 30/08/2016
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This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered.
Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding.

Second Edition ImprovementsExtensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies)
New end-of-section exercises and revised-end-of-chapter exercises
Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors' lectures
Substantial supporting material

Supporting MaterialSeven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analysesDocumentation for the R programsExcel data files associated with the end-of-chapter problem sets, most from real engineering settings

Publisher: Springer-Verlag New York Inc.
ISBN: 9780387791050
Number of pages: 437
Weight: 8424 g
Dimensions: 254 x 178 mm
Edition: 2nd ed. 2016


MEDIA REVIEWS

"This is a well-written book and provides a good number of worked examples to validate how the methods are actually used in real life situation using real datasets. ... The main strength of the book is that it still offers a good number of applications that are based on real datasets emerging from an industrial sector. ... I think this book can be successfully adopted for an undergraduate course on quality control and related topics." (S. Ejaz Ahmed, Technometrics, Vol. 59 (1), January, 2017)

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