Elementary Statistical Quality Control, 2nd Edition PDF Download

Author: John T. Burr
Publisher: CRC Press
ISBN: 0824790529
Category : Business & Economics
Languages : en
Pages : 467

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Book Description
Maintaining the reader-friendly features of its popular predecessor, the Second Edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting key concepts of statistical quality control in a simple and straightforward manner, this reference will provide a solid foundation in statistical quality control theory, background, and applications. Moving from elementary topics to sampling by variables, sound tolerancing, and relationships between variables, this reference

Author: Irving Wingate Burr
Publisher: CRC Press
ISBN: 9780824766863
Category : Business & Economics
Languages : en
Pages : 440

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Book Description

Author: Bhisham C. Gupta
Publisher: John Wiley & Sons
ISBN: 1119671639
Category : Technology & Engineering
Languages : en
Pages : 404

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Book Description
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.

Author: Douglas C. Montgomery
Publisher: Wiley Global Education
ISBN: 1119399297
Category : Technology & Engineering
Languages : en
Pages : 771

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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, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.

Author: Bhisham C. Gupta
Publisher: Quality Press
ISBN: 0873891627
Category : Business & Economics
Languages : en
Pages : 365

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Book Description
This book is a desk reference and instructional aid for those individuals currently involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical “alarm bells” that send signals when there are one or more problems with a particular process. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.

Author: Pyzdek
Publisher: CRC Press
ISBN: 9780824779665
Category : Technology & Engineering
Languages : en
Pages : 290

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Book Description
"Considerations of Quality play a prominent role in all fields -- particularly with recently focused attention on issues of consumerism, product and professional liability, and government regulation. American industries must improve quality if they are to remain competitive in world markets. "

Author: Frauke Kreuter
Publisher: John Wiley & Sons
ISBN: 1118591631
Category : Education
Languages : en
Pages : 327

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Book Description
Explore the practices and cutting-edge research on the new and exciting topic of paradata Paradata are measurements related to the process of collecting survey data. Improving Surveys with Paradata: Analytic Uses of Process Information is the most accessible and comprehensive contribution to this up-and-coming area in survey methodology. Featuring contributions from leading experts in the field, Improving Surveys with Paradata: Analytic Uses of Process Information introduces and reviews issues involved in the collection and analysis of paradata. The book presents readers with an overview of the indispensable techniques and new, innovative research on improving survey quality and total survey error. Along with several case studies, topics include: Using paradata to monitor fieldwork activity in face-to-face, telephone, and web surveys Guiding intervention decisions during data collection Analysis of measurement, nonresponse, and coverage error via paradata Providing a practical, encompassing guide to the subject of paradata, the book is aimed at both producers and users of survey data. Improving Surveys with Paradata: Analytic Uses of Process The book also serves as an excellent resource for courses on data collection, survey methodology, and nonresponse and measurement error.

Author: Forrest W. Breyfogle, III
Publisher: John Wiley & Sons
ISBN: 9780471540359
Category : Business & Economics
Languages : en
Pages : 556

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Book Description
Clearly illustrates how established techniques can be easily understood and used with a sample size that is smaller than normally envisioned. Provides solutions to complex industrial problems by demonstrating how to define the problem and evaluate it statistically with the aim of accelerating product design testing that requires fewer samples and offers more information with less test effort. Along with examples, it contains detailed additional material presented in tabular form for both easy reference and cross-reference.

Author: WA Gould
Publisher: Elsevier
ISBN: 1845696158
Category : Technology & Engineering
Languages : en
Pages : 465

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Book Description
This revision of Total Quality Assurance brings useful up-to-date methods used to assure product and process quality of food product and process quality of food products and the changes taking place in the field of quality assurance. The book is a practical authority on food quality assurance and the methods are those found in practice today in the food industries. It is a valuable text for the student of food science and technology and for the practicing quality assurance technologist.The third edition has over 450 page of A to Z technology and practical application of the latest methods and detailed procedure in developing total quality assurance in all food plants, including sanitary standards, as well as bacteriological procedures.The text is divided in to two major parts. Part one Fundamentals: sets forth the basic principles of total quality assurance for management and the ultimate employee. These principles are necessary for the successful operation of a food firm in these times. Part two Product evaluation: the text describes the various attributes and the characteristics of food plant quality evaluation methods. Examples are given for the evaluation of a wide array of food products. The methods and procedures described in this text have been applied to most situations for control, evaluation and auditing of the quality of foods.This is a complete instruction book, easily followed, yet technically complete for the food technologist, by the proven experts in the field of sanitation and quality assurance.

Author: George E. P. Box
Publisher: John Wiley & Sons
ISBN: 1118164466
Category : Mathematics
Languages : en
Pages : 360

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Book Description
Praise for the First Edition "This book . . . is a significant addition to the literature onstatistical practice . . . should be of considerable interest tothose interested in these topics."—International Journal ofForecasting Recent research has shown that monitoring techniques alone areinadequate for modern Statistical Process Control (SPC), and thereexists a need for these techniques to be augmented by methods thatindicate when occasional process adjustment is necessary.Statistical Control by Monitoring and Adjustment, Second Editionpresents the relationship among these concepts and elementary ideasfrom Engineering Process Control (EPC), demonstrating how thepowerful synergistic association between SPC and EPC can solvenumerous problems that are frequently encountered in processmonitoring and adjustment. The book begins with a discussion of SPC as it was originallyconceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming.Subsequent chapters outline the basics of the new integration ofSPC and EPC, which is not available in other related books.Thorough coverage of time series analysis for forecasting, processdynamics, and non-stationary models is also provided, and thesesections have been carefully written so as to require only anelementary understanding of mathematics. Extensive graphicalexplanations and computational tables accompany the numerousexamples that are provided throughout each chapter, and a helpfulselection of problems and solutions further facilitatesunderstanding. Statistical Control by Monitoring and Adjustment, Second Editionis an excellent book for courses on applied statistics andindustrial engineering at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for statisticiansand quality control practitioners working in industry.