Statistical Process Control Demystified
Language: English
Published by McGraw-Hill Education - Europe, US, 2011
Series: Book 46 of 67 - Demystified
- Softcover
- New

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AbeBooks seller since June 11, 2025
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.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 interpretationOvercoming common errors in the use of SPC and general statistical analysis toolsSampling requirementsAnalysis using ExcelEstimating process variationDesigned experimentsMeasurement systems analysis, including RandR studiesContinuous process improvement strategiesSimple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.…
Seller Inventory # LU-9780071742498
- Title
- Statistical Process Control Demystified
- Author
- Paul Keller
- Publisher
- McGraw-Hill Education - Europe, US
- Publication year
- 2011
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0071742492
- ISBN 13
- 9780071742498
- Item weight
- 554 grams
- Series
- Book 46 of 67: Demystified
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
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.
"Synopsis" may belong to another edition of this title.
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 the title" may belong to another edition of this title.
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