Description

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

Table of 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®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.

Basic Statistical Tools for Improving Quality

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    A Paperback / softback by Chang W. Kang, Paul Kvam

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      View other formats and editions of Basic Statistical Tools for Improving Quality by Chang W. Kang

      Publisher: John Wiley & Sons Inc
      Publication Date: 20/05/2011
      ISBN13: 9780470889497, 978-0470889497
      ISBN10: 0470889497
      Also in:
      Mathematics

      Description

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

      Table of 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®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.

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