Statistical Quality Control Handbook
Author | : Western Electric Company |
Publisher | : |
Total Pages | : 0 |
Release | : 1958 |
Genre | : Process control |
ISBN | : |
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Author | : Western Electric Company |
Publisher | : |
Total Pages | : 0 |
Release | : 1958 |
Genre | : Process control |
ISBN | : |
Author | : Douglas C. Montgomery |
Publisher | : John Wiley & Sons |
Total Pages | : 772 |
Release | : |
Genre | : Process control |
ISBN | : 1119657075 |
"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--
Author | : Walter Andrew Shewhart |
Publisher | : Courier Corporation |
Total Pages | : 218 |
Release | : 1986-01-01 |
Genre | : Mathematics |
ISBN | : 9780486652320 |
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. Topics include statistical control, establishing limits of variability, measurements of physical properties and constants, and specification of accuracy and precision. First inexpensive paperback edition.
Author | : Douglas C. Montgomery |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2010-04-12 |
Genre | : Technology & Engineering |
ISBN | : 9780471697916 |
This book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.
Author | : J. M. Juran |
Publisher | : McGraw Hill Professional |
Total Pages | : 24 |
Release | : 1999-01-21 |
Genre | : Technology & Engineering |
ISBN | : 0071386874 |
For decades, Juran's Quality Handbook has been the one essential reference in quality management and engineering—the ultimate authoritative source of answers on quality applications, procedures, techniques, and strategies. Now this Fifth Edition—a major revision and the first new edition of Juran's Quality Handbook in more than 10 years—forges a new standard in tools for quality. Bringing managers and engineers the most up-to-date methods, research, and theory, under the guidance of a team of the world's top experts, Juran's shows you how to plan for quality, achieve quality control, and ensure quality results. Packed with new methods, research, and thought on quality, and emphasizing the need for quality software and quality software development methods, this completely updated classic also gives you new information, new techniques, and new applications. Broad in scope and inclusive in methodology, Juran's Quality Handbook is the reference of choice for anyone concerned with quality in business, manufacturing, or engineering. Whether you're just beginning your journey or a longtime traveler on the quality path, this book is the best possible companion for your voyage.
Author | : Joseph M. Juran |
Publisher | : McGraw-Hill Companies |
Total Pages | : 1864 |
Release | : 1988 |
Genre | : Business & Economics |
ISBN | : |
More than ever the international reference work for managers and specialists, the new Fourth Edition of this classic desktop guide defines how to plan, produce, control, and continually improve quality companywide for the 1990s -- from the executive suite to the factory floor.
Author | : Stephen B. Vardeman |
Publisher | : |
Total 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).
Author | : Paul A. Keller |
Publisher | : McGraw Hill Professional |
Total Pages | : 319 |
Release | : 2011-06-05 |
Genre | : Business & Economics |
ISBN | : 0071742506 |
INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.