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Basic statistical tools for improving quality

Author: Chang W Kang; Paul H Kvam
Publisher: Hoboken, New Jersey : Wiley, ©2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats
"This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Kang, Chang W. (Chang Wok), 1957- author.
Basic statistical tools for improving quality.
Hoboken, New Jersey : Wiley, c2011
(DLC) 2010042346
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Chang W Kang; Paul H Kvam
ISBN: 9781118491751 9781118491515 1118491513 1118491750
OCLC Number: 809212843
Description: 1 online resource (xvii, 244 p.) : ill.
Contents: Preface. 1 The Importance of Quality Improvement. 1.1 Introduction. 1.2 What is Statistical Process Control? 1.3 The Birth of Quality Control. 1.4 What is a Process? 1.5 Examples of Processes from Daily Life. 1.6 Implementing the Tools and Techniques. 1.7 Continuous Process Improvement. 1.8 The Goal of Statistical Process Control. 1.9 The Eight Dimensions of Quality for Manufacturing & Service. 1.10 The Cost of (Poor) Quality). 1.11 What Did We Learn? 1.12 Test Your Knowledge. 2 Graphical Display of Data. 2.1 Introduction to eZ SPC. 2.2 Qualitative and Quantitative Data. 2.3 Bar Graph. 2.4 Pie Chart. 2.5 Pareto Chart. 2.6 Radar Chart. 2.7 Histogram. 2.8 Box Plot. 2.9 Scatter Plot. 2.10 Cause and E(R)ect Diagram. 2.11 What Did We Learn? 2.12 Test Your Knowledge. Exercises. 3 Summarizing Data. 3.1 Central Tendency. 3.2 Variability. 3.3 Statistical Distributions. 3.4 Distributions in eZ SPC. 3.5 What Did We Learn? 3.6 Test Your Knowledge. Exercises. 4 Analyzing Data. 4.1 Confidence Intervals. 4.2 Test of Hypothesis. 4.3 The p-value. 4.4 Probability Plots. 4.5 What Did We Learn? 4.6 Test Your Knowledge. Exercises. 5 Shewhart Control Charts. 5.1 The Concepts of a Control Chart. 5.2 Managing the Process with Control Charts. 5.3 Variable Control Charts. 5.4 Attribute Control Charts. 5.5 Deciding Which Chart to Use. 5.6 What Did We Learn? 5.7 Test Your Knowledge. Exercises. 6 Advanced Control Charts. 6.1 CUSUM Control Chart. 6.2 EWMA Control Charts. 6.3 CV Control Chart. 6.4 Nonparametric Control Charts. 6.5 Process Capability. 6.6 Gage R & R. 6.7 What Did We Learn? 6.8 Test Your Knowledge. Exercises. 7 Process Improvement. 7.1 Correlation Analysis. 7.2 Regression Analysis. 7.3 Experimental Design. 7.4 Overview of Experimental Design. 7.5 Principles of Experimentation. 7.6 One-Way Analysis of Variance . 7.7 Two Way Analysis of Variance. 7.8 Two-level Factorial Design Analysis. 7.9 What Did We Learn? 7.10 Test Your Knowledge. Exercises. 8 End Material. 8.1 Final Exam. 8.2 Final Exam Solutions. 8.3 Test Your Knowledge: Answers. References. Glossary. Subject Index.
Responsibility: Chang W. Kang, Paul H. Kvam.


This book presents a clear, quick understanding of the basic techniques in statistical quality control that are employed by business and industrial managers alike.  Read more...
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