Statistical Process Control Demystified

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9780071742498: Statistical Process Control Demystified

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.

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About the Author:

Paul Keller is President and Chief Operating Officer of Quality America, Inc., and has developed and implemented successful Six Sigma and quality improvement programs in service and manufacturing environments. He is the bestselling author or coauthor of several books, including The Six Sigma Handbook, Six Sigma DeMYSTiFieD, and others.

"About this title" may belong to another edition of this title.

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Paul A. Keller
Published by McGraw-Hill Education - Europe, United States (2011)
ISBN 10: 0071742492 ISBN 13: 9780071742498
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Book Description McGraw-Hill Education - Europe, United States, 2011. Paperback. Book Condition: New. Language: English . Brand New Book. A practical guide to Statistical Process Control (SPC) Statistical Process Control DeMYSTiFieD clearly defines the application and interpretation of SPC--a key component of Six Sigma, Quality Engineering, and Quality Assurance practices--within a cross section of industries. Various sampling methods applied in a variety of applications are discussed, including continuous, piece-part, service, and short run processes. The book uses Minitab, Excel and other software to demonstrate application of problem-solving and statistical techniques. You will learn how to solve complicated problems that are generally not addressed in introductory guides. High-level concepts are put it into practical context for ease of understanding. Statistical Process Control DeMYSTiFieD features: Chapter-opening objectives offering insight into what you re going to learn in each step Questions at the end of every chapter to reinforce learning and pinpoint weaknesses Still Struggling? icon providing specific recommendations for those having difficulty with certain subtopics A final exam for overall self-assessment Curriculum Tree that shows how SPC fits into a larger curriculum Hard stuff made easy!Analyzing process data; Definition of process; Choosing process metrics; Application of SPC to process analysis; Differences between SPC methods and the enumerative methods of statistical inference; Definition and interpretation of common causes and special causes of variation; Difference between statistical process control and process control using specification limits, including the effects of tampering; Misapplication of two-sigma control or warning limits and their implication on the false alarm rate; Establishing and revising control limits. Discussion of different applications of SPC across an organization; Statistical distributions; Types of data (variables vs. attributes); General properties of distributions; The Binomial Distribution; The Poisson Distribution; The Normal Distribution, including the Central Limit Theorem; Non-Normal Distributions; Detection using Normal Probability Plots, Anderson-Darling and K-S statistics. Standardization/translation techniques; Analysis of count data using attribute charts; Definition of attribute data; P charts and Np charts; Assumptions; Calculations; Interpretation, including examples.U charts and C charts; Limitations; The X-Bar Chart; Assumptions, including discussion of subgroup size selection, its influence on detection, and the relevance of rational subgroups; Calculations, including use of Run test rules; Interpretation, including examples; Limitations, including the effects of process autocorrelation, batch processes, multi-stream processes, measurement resolution; Charts for Individuals Data; The individual-X / moving range; Moving average charts; EWMA charts--assumptions; Calculations; Interpretation, including examples; Limitations; Process capability and performance analysis; Assumptions, including the need to establish statistical control, and the comparison of the use of process sigma versus sample standard deviation; Calculations, including for non-normal analysis; Interpretation, including examples; the relation to error rates, dpmo, sigma levels; and the proper reporting of capability indices.Limitations; Measurement systems analysis using control charts; Assumptions; Calculations; Interpretation, including examples; Limitations; Control charts for autocorrelated processes; Assumptions; Calculations; Interpretation, including examples; Limitations. Bookseller Inventory # AAC9780071742498

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Book Description McGraw-Hill Education - Europe, United States, 2011. Paperback. Book Condition: New. Language: English . Brand New Book. A practical guide to Statistical Process Control (SPC) Statistical Process Control DeMYSTiFieD clearly defines the application and interpretation of SPC--a key component of Six Sigma, Quality Engineering, and Quality Assurance practices--within a cross section of industries. Various sampling methods applied in a variety of applications are discussed, including continuous, piece-part, service, and short run processes. The book uses Minitab, Excel and other software to demonstrate application of problem-solving and statistical techniques. You will learn how to solve complicated problems that are generally not addressed in introductory guides. High-level concepts are put it into practical context for ease of understanding. Statistical Process Control DeMYSTiFieD features: Chapter-opening objectives offering insight into what you re going to learn in each step Questions at the end of every chapter to reinforce learning and pinpoint weaknesses Still Struggling? icon providing specific recommendations for those having difficulty with certain subtopics A final exam for overall self-assessment Curriculum Tree that shows how SPC fits into a larger curriculum Hard stuff made easy!Analyzing process data; Definition of process; Choosing process metrics; Application of SPC to process analysis; Differences between SPC methods and the enumerative methods of statistical inference; Definition and interpretation of common causes and special causes of variation; Difference between statistical process control and process control using specification limits, including the effects of tampering; Misapplication of two-sigma control or warning limits and their implication on the false alarm rate; Establishing and revising control limits. Discussion of different applications of SPC across an organization; Statistical distributions; Types of data (variables vs. attributes); General properties of distributions; The Binomial Distribution; The Poisson Distribution; The Normal Distribution, including the Central Limit Theorem; Non-Normal Distributions; Detection using Normal Probability Plots, Anderson-Darling and K-S statistics. Standardization/translation techniques; Analysis of count data using attribute charts; Definition of attribute data; P charts and Np charts; Assumptions; Calculations; Interpretation, including examples.U charts and C charts; Limitations; The X-Bar Chart; Assumptions, including discussion of subgroup size selection, its influence on detection, and the relevance of rational subgroups; Calculations, including use of Run test rules; Interpretation, including examples; Limitations, including the effects of process autocorrelation, batch processes, multi-stream processes, measurement resolution; Charts for Individuals Data; The individual-X / moving range; Moving average charts; EWMA charts--assumptions; Calculations; Interpretation, including examples; Limitations; Process capability and performance analysis; Assumptions, including the need to establish statistical control, and the comparison of the use of process sigma versus sample standard deviation; Calculations, including for non-normal analysis; Interpretation, including examples; the relation to error rates, dpmo, sigma levels; and the proper reporting of capability indices.Limitations; Measurement systems analysis using control charts; Assumptions; Calculations; Interpretation, including examples; Limitations; Control charts for autocorrelated processes; Assumptions; Calculations; Interpretation, including examples; Limitations. Bookseller Inventory # AAC9780071742498

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Book Description McGraw-Hill Professional. Paperback. Book Condition: New. Paperback. 320 pages. Dimensions: 9.1in. x 7.3in. x 0.6in.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. Youll 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. Its a no-brainer! Youll 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 and 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9780071742498

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