Chang W. (Hanyang University (South Korea)) Kang,
PH Kang,
Paul (Georgia Institute of Technology) Kvam
Basic Statistical Tools for Improving Quality
Paperback Engels 2011 9780470889497
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9780470889497
Taal:Engels
Bindwijze:paperback
Aantal pagina's:262
Uitgever:John Wiley & Sons
Hoofdrubriek:Inkoop en logistiek, Algemeen management
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
Preface.
<p>1 The Importance of Quality Improvement.</p>
<p>1.1 Introduction.</p>
<p>1.2 What is Statistical Process Control?</p>
<p>1.3 The Birth of Quality Control.</p>
<p>1.4 What is a Process?</p>
<p>1.5 Examples of Processes from Daily Life.</p>
<p>1.6 Implementing the Tools and Techniques.</p>
<p>1.7 Continuous Process Improvement.</p>
<p>1.8 The Goal of Statistical Process Control.</p>
<p>1.9 The Eight Dimensions of Quality for Manufacturing & Service.</p>
<p>1.10 The Cost of (Poor) Quality).</p>
<p>1.11 What Did We Learn?</p>
<p>1.12 Test Your Knowledge.</p>
<p>2 Graphical Display of Data.</p>
<p>2.1 Introduction to eZ SPC.</p>
<p>2.2 Qualitative and Quantitative Data.</p>
<p>2.3 Bar Graph.</p>
<p>2.4 Pie Chart.</p>
<p>2.5 Pareto Chart.</p>
<p>2.6 Radar Chart.</p>
<p>2.7 Histogram.</p>
<p>2.8 Box Plot.</p>
<p>2.9 Scatter Plot.</p>
<p>2.10 Cause and E®ect Diagram.</p>
<p>2.11 What Did We Learn?</p>
<p>2.12 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>3 Summarizing Data.</p>
<p>3.1 Central Tendency.</p>
<p>3.2 Variability.</p>
<p>3.3 Statistical Distributions.</p>
<p>3.4 Distributions in eZ SPC.</p>
<p>3.5 What Did We Learn?</p>
<p>3.6 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>4 Analyzing Data.</p>
<p>4.1 Confidence Intervals.</p>
<p>4.2 Test of Hypothesis.</p>
<p>4.3 The p value.</p>
<p>4.4 Probability Plots.</p>
<p>4.5 What Did We Learn?</p>
<p>4.6 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>5 Shewhart Control Charts.</p>
<p>5.1 The Concepts of a Control Chart.</p>
<p>5.2 Managing the Process with Control Charts.</p>
<p>5.3 Variable Control Charts.</p>
<p>5.4 Attribute Control Charts.</p>
<p>5.5 Deciding Which Chart to Use.</p>
<p>5.6 What Did We Learn?</p>
<p>5.7 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>6 Advanced Control Charts.</p>
<p>6.1 CUSUM Control Chart.</p>
<p>6.2 EWMA Control Charts.</p>
<p>6.3 CV Control Chart.</p>
<p>6.4 Nonparametric Control Charts.</p>
<p>6.5 Process Capability.</p>
<p>6.6 Gage R & R.</p>
<p>6.7 What Did We Learn?</p>
<p>6.8 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>7 Process Improvement.</p>
<p>7.1 Correlation Analysis.</p>
<p>7.2 Regression Analysis.</p>
<p>7.3 Experimental Design.</p>
<p>7.4 Overview of Experimental Design.</p>
<p>7.5 Principles of Experimentation.</p>
<p>7.6 One–Way Analysis of Variance .</p>
<p>7.7 Two Way Analysis of Variance.</p>
<p>7.8 Two–level Factorial Design Analysis.</p>
<p>7.9 What Did We Learn?</p>
<p>7.10 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>8 End Material.</p>
<p>8.1 Final Exam.</p>
<p>8.2 Final Exam Solutions.</p>
<p>8.3 Test Your Knowledge: Answers.</p>
<p>References.</p>
<p>Glossary.</p>
<p>Subject Index.</p>
<p>1 The Importance of Quality Improvement.</p>
<p>1.1 Introduction.</p>
<p>1.2 What is Statistical Process Control?</p>
<p>1.3 The Birth of Quality Control.</p>
<p>1.4 What is a Process?</p>
<p>1.5 Examples of Processes from Daily Life.</p>
<p>1.6 Implementing the Tools and Techniques.</p>
<p>1.7 Continuous Process Improvement.</p>
<p>1.8 The Goal of Statistical Process Control.</p>
<p>1.9 The Eight Dimensions of Quality for Manufacturing & Service.</p>
<p>1.10 The Cost of (Poor) Quality).</p>
<p>1.11 What Did We Learn?</p>
<p>1.12 Test Your Knowledge.</p>
<p>2 Graphical Display of Data.</p>
<p>2.1 Introduction to eZ SPC.</p>
<p>2.2 Qualitative and Quantitative Data.</p>
<p>2.3 Bar Graph.</p>
<p>2.4 Pie Chart.</p>
<p>2.5 Pareto Chart.</p>
<p>2.6 Radar Chart.</p>
<p>2.7 Histogram.</p>
<p>2.8 Box Plot.</p>
<p>2.9 Scatter Plot.</p>
<p>2.10 Cause and E®ect Diagram.</p>
<p>2.11 What Did We Learn?</p>
<p>2.12 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>3 Summarizing Data.</p>
<p>3.1 Central Tendency.</p>
<p>3.2 Variability.</p>
<p>3.3 Statistical Distributions.</p>
<p>3.4 Distributions in eZ SPC.</p>
<p>3.5 What Did We Learn?</p>
<p>3.6 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>4 Analyzing Data.</p>
<p>4.1 Confidence Intervals.</p>
<p>4.2 Test of Hypothesis.</p>
<p>4.3 The p value.</p>
<p>4.4 Probability Plots.</p>
<p>4.5 What Did We Learn?</p>
<p>4.6 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>5 Shewhart Control Charts.</p>
<p>5.1 The Concepts of a Control Chart.</p>
<p>5.2 Managing the Process with Control Charts.</p>
<p>5.3 Variable Control Charts.</p>
<p>5.4 Attribute Control Charts.</p>
<p>5.5 Deciding Which Chart to Use.</p>
<p>5.6 What Did We Learn?</p>
<p>5.7 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>6 Advanced Control Charts.</p>
<p>6.1 CUSUM Control Chart.</p>
<p>6.2 EWMA Control Charts.</p>
<p>6.3 CV Control Chart.</p>
<p>6.4 Nonparametric Control Charts.</p>
<p>6.5 Process Capability.</p>
<p>6.6 Gage R & R.</p>
<p>6.7 What Did We Learn?</p>
<p>6.8 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>7 Process Improvement.</p>
<p>7.1 Correlation Analysis.</p>
<p>7.2 Regression Analysis.</p>
<p>7.3 Experimental Design.</p>
<p>7.4 Overview of Experimental Design.</p>
<p>7.5 Principles of Experimentation.</p>
<p>7.6 One–Way Analysis of Variance .</p>
<p>7.7 Two Way Analysis of Variance.</p>
<p>7.8 Two–level Factorial Design Analysis.</p>
<p>7.9 What Did We Learn?</p>
<p>7.10 Test Your Knowledge.</p>
<p>Exercises.</p>
<p>8 End Material.</p>
<p>8.1 Final Exam.</p>
<p>8.2 Final Exam Solutions.</p>
<p>8.3 Test Your Knowledge: Answers.</p>
<p>References.</p>
<p>Glossary.</p>
<p>Subject Index.</p>
Anderen die dit kochten, kochten ook
-
Lee Krajewski€ 90,94 -
Ed Weenk€ 52,95
-
Brigitte Faber-de Lange€ 77,95
-
Nigel Slack€ 95,74
-
Peter Streefkerk€ 20,00
-
Daniel Stanton€ 38,38
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan