Volume 36 2012

Six Sigma with R

Statistical Engineering for Process Improvement

Authors:

ISBN: 978-1-4614-3651-5 (Print) 978-1-4614-3652-2 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxx

  2. Basics

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-13

      Six Sigma in a Nutshell

    3. No Access

      Book Chapter

      Pages 15-47

      R from the Beginning

  3. R Tools for the Define phase

    1. Front Matter

      Pages 49-49

    2. No Access

      Book Chapter

      Pages 51-61

      Process Mapping with R

    3. No Access

      Book Chapter

      Pages 63-75

      Loss Function Analysis with R

  4. R Tools for the Measure phase

    1. Front Matter

      Pages 77-77

    2. No Access

      Book Chapter

      Pages 79-90

      Measurement System Analysis with R

    3. No Access

      Book Chapter

      Pages 91-100

      Pareto Analysis with R

    4. No Access

      Book Chapter

      Pages 101-112

      Process Capability Analysis with R

  5. R Tools for the Analyze phase

    1. Front Matter

      Pages 113-113

    2. No Access

      Book Chapter

      Pages 115-139

      Charts with R

    3. No Access

      Book Chapter

      Pages 141-165

      Statistics and Probability with R

    4. No Access

      Book Chapter

      Pages 167-193

      Statistical Inference with R

  6. R Tools for the Improve phase

    1. Front Matter

      Pages 195-195

    2. No Access

      Book Chapter

      Pages 197-215

      Design of Experiments with R

  7. R Tools for the Control phase

    1. Front Matter

      Pages 217-217

    2. No Access

      Book Chapter

      Pages 219-238

      Process Control with R

  8. Further and Beyond

    1. Front Matter

      Pages 239-239

    2. No Access

      Book Chapter

      Pages 241-249

      Other Tools and Methodologies

  9. Back Matter

    Pages 251-284