Statistical Method from the Viewpoint of Quality Control

1986-01-01
Statistical Method from the Viewpoint of Quality Control

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  • Author: Walter Andrew Shewhart
  • Publisher: Courier Corporation
  • ISBN: 0486652327
  • Category : Mathematics
  • Languages : en
  • Pages : 180

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.

Economic Control of Quality Of Manufactured Product

2015-04-25
Economic Control of Quality Of Manufactured Product

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  • Author: Walter A. Shewhart
  • Publisher:
  • ISBN: 9781614278115
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 516

2015 Reprint of 1931 Edition. Full Facsimile of the original edition. Not reproduced with Optical Recognition Software. The father of modern quality control, Walter A. Shewhart brought together the disciplines of statistics, engineering, and economics in a simple but highly effective tool: the control chart. This technique, and the principles behind it, has played a key role in economic development from the 1940's through to the present day. Most of Shewhart's professional career was spent at Western Electric as an engineer from 1918 to 1924 and at Bell Telephone Laboratories from 1925 until his retirement in 1956. In addition, he served for more than 20 years as the first editor of the Mathematical Statistics Series published by John Wiley & Sons.

Statistical Quality Control Methods

2018-05-04
Statistical Quality Control Methods

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  • Author: Irving W. Burr
  • Publisher: Routledge
  • ISBN: 1351414194
  • Category : Business & Economics
  • Languages : en
  • Pages : 540

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.

Introduction to Statistical Quality Control

2019-12-30
Introduction to Statistical Quality Control

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  • Author: Douglas C. Montgomery
  • Publisher: John Wiley & Sons
  • ISBN: 1119657113
  • Category : Einführung
  • Languages : en
  • Pages : 773

"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."--

Statistical Methods for Quality Improvement

2011-09-20
Statistical Methods for Quality Improvement

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  • Author: Thomas P. Ryan
  • Publisher: John Wiley & Sons
  • ISBN: 1118058100
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 578

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.

Statistical Methods for Quality Improvement

1987-08-05
Statistical Methods for Quality Improvement

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  • Author: Hitoshi Kume
  • Publisher: Productivity Press
  • ISBN: 9784906224340
  • Category : Business & Economics
  • Languages : en
  • Pages : 231

This text is highly recommended for managers and serious students of quality. Major US companies issue this reference and training manual to all managers during their quality training. This volume is also very valuable as a stand-alone reference on using statistics with a business and quality perspective.

Statistical Methods for Quality Assurance

2016-08-26
Statistical Methods for Quality Assurance

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  • Author: Stephen B. Vardeman
  • Publisher: Springer
  • ISBN: 038779106X
  • Category : Mathematics
  • Languages : en
  • Pages : 447

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

The Desk Reference of Statistical Quality Methods

2007-07-18
The Desk Reference of Statistical Quality Methods

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  • Author: Mark L. Crossley
  • Publisher: Quality Press
  • ISBN: 0873897293
  • Category : Business & Economics
  • Languages : en
  • Pages : 561

Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. A plethora of topics have been arranged in alphabetical order, ranging from acceptance sampling control charts to zone format control charts. This reference is accessible for the average quality practitioner who will need a minimal prior understanding of the techniques discussed to benefit from them. Each topic is presented in a standalone fashion with, in most cases, several examples detailing computational steps and application comments. This second edition includes new sections on advanced SPC applications, reliability applications, and Simplex Optimization. There are expansions in the sections on process capability analysis, hypothesis testing, and design of experiments.

Statistical Quality Control

2021-07-23
Statistical Quality Control

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  • Author: Bhisham C. Gupta
  • Publisher: John Wiley & Sons
  • ISBN: 1119671728
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 400

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.

Statistical Aspects of Quality Control

1997
Statistical Aspects of Quality Control

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  • Author: Derman Cyrus
  • Publisher: Academic Press
  • ISBN:
  • Category : Business & Economics
  • Languages : en
  • Pages : 230

On-line and off-line quality control are the two methods used to discern a products reliability of quality. Though they are disparate techniques, both methods are used to achieve the same result. This introductory textbook integrates the two techniques to present a wide coverage of statistical methods of quality control. The text is compact, stressing the key ideas and concepts rather than trying to cover each method in complete depth. Statistical Aspects of Quality Control is an excellent starting point for a student interested in learning more about the field of statistical quality control. References and suggested readings are included at the end of each chapter. Presents statistical quality control in a compact fashion that stresses key ideas and concepts Uses the concept of Average Run Length to compare the different control charts, such as Shewhart, moving average, and cusum Introduces the Taguchi approach to quality design Includes information on acceptance sampling Concludes each chapter with final comments, references, and examples to illustrate the methods discussed