Chang W Kang, Paul Kvam

Basic Statistical Tools for Improving Quality

• Broschiertes Buch

Produktbeschreibung

This book presents a clear, quick understanding of the basic techniques in statistical quality control that are employed by business and industrial managers alike. It differs from other technical manuals 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 in an uncomplicated fashion using free software (eZ SPC 2.0), which is available as a downloadable product. It aids applied statisticians, practitioners, and Six Sigma enthusiasts in engineering, technology, marketing and business; it also serves as a supplemental text for students in quality control courses.

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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 software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software.

Produktdetails

• Verlag: John Wiley & Sons / Wiley
• Artikelnr. des Verlages: 14588949000
• Seitenzahl: 262
• Erscheinungstermin: 26. April 2011
• Englisch
• Abmessung: 234mm x 156mm x 14mm
• Gewicht: 406g
• ISBN-13: 9780470889497
• ISBN-10: 0470889497
• Artikelnr.: 32311988

Autorenporträt

Chang W. Kang, PhD, is Professor in the Department of Industrial and Management Engineering at Hanyang University (South Korea). He has published extensively in the areas of engineering statistics, statistical quality control, and quality management. Former president of the Korea Society of Industrial and Systems Engineering, Dr. Kang is the recipient of both the President's Award (2004) and the Medal of Service Merits (2007) by the Korean government. Paul H. Kvam, PhD, is Professor of Industrial and Systems Engineering at the Georgia Institute of Technology. He has published numerous papers in the areas of statistical reliability with applications to engineering, nonparametric estimation, and analysis of complex and dependent systems. He is a Fellow of the American Statistical Association and the coauthor of Nonparametric Statistics for Science and Engineering (Wiley).

Inhaltsangabe

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.