Quality Control With R
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Quality Control With R
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Author : Emilio L. Cano
language : en
Publisher: Springer
Release Date : 2015-11-20
Quality Control With R written by Emilio L. Cano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-20 with Business & Economics categories.
Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.
Statistical Quality Control
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Author : Bhisham C. Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-23
Statistical Quality Control written by Bhisham C. Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Technology & Engineering categories.
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 Quality Control For The Food Industry
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Author : Merton R. Hubbard
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Statistical Quality Control For The Food Industry written by Merton R. Hubbard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.
If an automobile tire leaks or an electric light switch fails, if we are short changed at a department store or erroneously billed for phone calls not made, if a plane departure is delayed due to a mechanical failure - these are rather ordinary annoyances which we have come to accept as normal occur rences. Contrast this with failure of a food product. If foreign matter is found in a food, if a product is discolored or crushed, if illness or discomfort occurs when a food product is eaten-the consumer reacts with anger, fear, and sometimes mass hysteria. The offending product is often returned to the seller, or a disgruntled letter is written to the manufacturer. In an extreme case, an expensive law suit may be filed against the company. The reaction is almost as severe if the failure is a difficult-to-open package or a leaking container. There is no tolerance for failure of food products. Dozens of books on quality written for hardware or service industries discuss failure rates, product reliability, serviceability, maintainability, warran ty, and repair. Manufacturers in the food industry cannot use these measure ments: food reliability must be 100%, failure rate 0%. Serviceability, main tainability, warranty, and repair are meaningless terms to food processors.
Modern Statistical Quality Control And Improvement
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Author : Nicholas R. Farnum
language : en
Publisher: Duxbury Resource Center
Release Date : 1994
Modern Statistical Quality Control And Improvement written by Nicholas R. Farnum and has been published by Duxbury Resource Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Business & Economics categories.
Farnum's text takes a state-of-the-art approach to quality management. From the outset, it emphasizes the modern philosophy of continuous quality improvement and quality control. It is written for courses where both modern statistical methods for quality and their implementation into business are covered. In straightforward terms, the book explains the concepts and techniques that are essential to quality control, including cutting-edge topics.
Multivariate Statistical Quality Control Using R
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Author : Edgar Santos-Fernández
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-22
Multivariate Statistical Quality Control Using R written by Edgar Santos-Fernández and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-22 with Business & Economics categories.
The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
Choosing A Quality Control System
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Author : Merton R. Hubbard
language : en
Publisher: CRC Press
Release Date : 1998-12-09
Choosing A Quality Control System written by Merton R. Hubbard and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-09 with Technology & Engineering categories.
There are over 24 quality control systems recommended for the control and improvement of quality and process; there are over 30 techniques and buzzwords suggested for implementing these systems and to assist in learning about these systems and techniques; there are well over 200 courses, seminars, programs, and conferences available. This book discusses the pros and cons of these many alternatives, suggests how an effective system can be assembled or reconstructed by selecting and combining some basic engineering methods, some non-statistical methods based on team efforts, and seven statistical tools, with computer application assistance. Different requirements of different companies mean there is no one best way to construct or modify a quality system plan. There is no plan that can "fit all sizes." This book presents-in clear and simple terms-the needs, goals, cautions, and suggested procedures you should consider when modifying or constructing an effective system for your company.
Statistical Methods For Quality Assurance
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Author : Stephen B. Vardeman
language : en
Publisher: Springer
Release Date : 2016-08-26
Statistical Methods For Quality Assurance written by Stephen B. Vardeman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Mathematics categories.
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
Quality Control Charts For X And R Adjusted For With In Subgroup Pattern
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Author : Albert Ernest Roberts Westman
language : en
Publisher:
Release Date : 1949
Quality Control Charts For X And R Adjusted For With In Subgroup Pattern written by Albert Ernest Roberts Westman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949 with categories.
Multivariate Statistical Quality Control Using R
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Author : Edgar Santos-Fernández
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-22
Multivariate Statistical Quality Control Using R written by Edgar Santos-Fernández and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-22 with Computers categories.
The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
Statistics Of Quality
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Author : Subir Ghosh
language : en
Publisher: CRC Press
Release Date : 2020-09-02
Statistics Of Quality written by Subir Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-02 with Technology & Engineering categories.
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.