Statistical Quality Assurance Methods for Engineers
Title | Statistical Quality Assurance Methods for Engineers PDF eBook |
Author | Stephen B. Vardeman |
Publisher | |
Pages | 584 |
Release | 1999 |
Genre | Business & Economics |
ISBN |
The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text * Provides a coherent presentation of the role of statistics in quality assurance. * Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader. * Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets. * The implementation of statistical tools is user-friendly. * The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
Statistical Methods in Engineering and Quality Assurance
Title | Statistical Methods in Engineering and Quality Assurance PDF eBook |
Author | Peter William Meredith John |
Publisher | Wiley-Interscience |
Pages | 408 |
Release | 1990-10-25 |
Genre | Business & Economics |
ISBN |
Reflecting more than 30 years of teaching experience in the field, this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications, including both chemical engineering and semiconductors. Among the topics featured are: quality assurance and statistics, continuous variables, hypothesis testing, comparative experiments, acceptance sampling, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work.
Statistical Methods for Quality Assurance
Title | Statistical Methods for Quality Assurance PDF eBook |
Author | Stephen B. Vardeman |
Publisher | Springer |
Pages | 447 |
Release | 2016-08-26 |
Genre | Mathematics |
ISBN | 038779106X |
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 Improvements Extensive 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 Material Seven 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 analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Statistical Quality Assurance Methods for Engineers DC
Title | Statistical Quality Assurance Methods for Engineers DC PDF eBook |
Author | Stephen B. Vardeman |
Publisher | |
Pages | 561 |
Release | 1999 |
Genre | Industrial engineering |
ISBN |
Statistical Methods of Quality Assurance
Title | Statistical Methods of Quality Assurance PDF eBook |
Author | Hans-Joachim. Mittag |
Publisher | CRC Press |
Pages | 664 |
Release | 2018-12-12 |
Genre | Business & Economics |
ISBN | 1351414267 |
This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.
Statistical Method from the Viewpoint of Quality Control
Title | Statistical Method from the Viewpoint of Quality Control PDF eBook |
Author | Walter A. Shewhart |
Publisher | Courier Corporation |
Pages | 178 |
Release | 2012-07-31 |
Genre | Mathematics |
ISBN | 048617087X |
Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback edition.
Introduction to Engineering Statistics and Lean Sigma
Title | Introduction to Engineering Statistics and Lean Sigma PDF eBook |
Author | Theodore T. Allen |
Publisher | Springer Science & Business Media |
Pages | 573 |
Release | 2010-04-23 |
Genre | Technology & Engineering |
ISBN | 1849960003 |
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.