How to Use Regression Analysis in Quality Control PDF Download
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Author: Douglas C. Crocker
Publisher: American Society for Quality Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 96
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Book Description
This book models the regression protocol to suit applications within quality control while avoiding misapplication and misinterpretation. It gives an introduction to the general principles of regression analysis and an in-depth discussion of its use.Contents:What RA Is and What It Does The Modeling Process Enlisting Client Support The Method of Least Squares A Numeric Example: The Simple (One-Predictor) Model A Calibration Example: Inverse Regression The Necessity of Computers: Multiple Regression Finding the Causes of Quality Variation A Few More Fallacies and Dangers
Author: Douglas C. Crocker
Publisher: American Society for Quality Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 96
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Book Description
This book models the regression protocol to suit applications within quality control while avoiding misapplication and misinterpretation. It gives an introduction to the general principles of regression analysis and an in-depth discussion of its use.Contents:What RA Is and What It Does The Modeling Process Enlisting Client Support The Method of Least Squares A Numeric Example: The Simple (One-Predictor) Model A Calibration Example: Inverse Regression The Necessity of Computers: Multiple Regression Finding the Causes of Quality Variation A Few More Fallacies and Dangers
Author: Larry Webber
Publisher: John Wiley & Sons
ISBN: 1118051033
Category : Business & Economics
Languages : en
Pages : 384
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Book Description
So you’ve been asked to lead a quality control initiative? Or maybe you’ve been assigned to a quality team. Perhaps you’re a CEO whose main concern is to make your company faster, more efficient, and less expensive. Whatever your role is, quality control is a critical concept in every industry and profession. Quality Control For Dummies is the straightforward, easy guide to improving your company’s quality. It covers all of today’s available options and provides expert techniques for introducing quality methods to your company, collecting data, designing quality processes, and more. This hands-on guide gives you all the tools you’ll ever need to enhance your company’s quality, including: Understanding the importance of quality standards Putting fundamental quality control methods to use Listening to your customer about quality issues Whipping quality control into shape with Lean Working with value stream mapping Focusing on the 5S method Supplement a process with Kanban Fixing tough problems with Six Sigma Using QFD to win customers over Improving you company with TOC This invaluable reference is written from an unbiased viewpoint, giving you all the facts about each theory with no fuzzy coverings. It also includes steps for incorporating quality into a new product and Web sites packed with quality control tips and techniques. With Quality Control For Dummies, you’ll be able to speed up production, eliminate waste, and save money!
Author: Thomas P. Ryan
Publisher: John Wiley & Sons
ISBN: 1118058100
Category : Technology & Engineering
Languages : en
Pages : 578
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Book Description
Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.
Author: American Society for Quality Control. Statistics Division
Publisher: ASQ Quality Press
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 186
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Book Description
Author: Tsai-lien Lin
Publisher:
ISBN:
Category :
Languages : en
Pages : 108
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Book Description
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119657113
Category : Einführung
Languages : en
Pages : 773
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Book Description
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Author: Carol Krismann
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
Author: Manfred Reichenbächer
Publisher: Springer Science & Business Media
ISBN: 3642165958
Category : Science
Languages : en
Pages : 371
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Book Description
Working in the lab, but unsure what your results actually mean? Would you like to know how to apply trueness tests, calculate standard deviations, estimate measurement uncertainties or test for linearity? This book offers you a problem-based approach to analytical quality assurance (AQA). After a short introduction into required fundamentals, various topics such as statistical tests, linear regression and calibration, tool qualification or method validation are presented in the form of exercises for self-study. Solutions are provided in a clear step-by-step manner. Interactive Excel-sheets are available as Extra Materials for trying out the various concepts. For professionals as well as graduate students confronted with analytical quality assurance for the first time, this book will be the clue to meeting such challenges.
Author: Irving W. Burr
Publisher: Taylor & Francis
ISBN: 1351414208
Category : Business & Economics
Languages : en
Pages : 537
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Book Description
This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.
Author: A.N. Tikhonov
Publisher: Springer Science & Business Media
ISBN: 940158480X
Category : Mathematics
Languages : en
Pages : 257
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Book Description
Many problems in science, technology and engineering are posed in the form of operator equations of the first kind, with the operator and RHS approximately known. But such problems often turn out to be ill-posed, having no solution, or a non-unique solution, and/or an unstable solution. Non-existence and non-uniqueness can usually be overcome by settling for `generalised' solutions, leading to the need to develop regularising algorithms. The theory of ill-posed problems has advanced greatly since A. N. Tikhonov laid its foundations, the Russian original of this book (1990) rapidly becoming a classical monograph on the topic. The present edition has been completely updated to consider linear ill-posed problems with or without a priori constraints (non-negativity, monotonicity, convexity, etc.). Besides the theoretical material, the book also contains a FORTRAN program library. Audience: Postgraduate students of physics, mathematics, chemistry, economics, engineering. Engineers and scientists interested in data processing and the theory of ill-posed problems.
