Six Sigma with R : statistical engineering for process improvement
Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the...
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| Autori principali: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2012. |
| Serie: | Use R!
36 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Six Sigma with R, Texte imprimé, 9781461436515 • Six Sigma with R, Texte imprimé, 9781461436539 • Six Sigma with R, Texte imprimé, 9781461436515 |
Sommario:
- Part I Basics Six Sigma in a Nutshell R from the Beginning Part II R Tools for the Define phase Process Mapping with R Loss Function Analysis with R Part III R Tools for the Measure phase Measurement System Analysis with R Pareto Analysis with R Process Capability Analysis with R Part IV R Tools for the Analyze phase Charts with R Statistics and Probability with R Statistical Inference with R Part V R Tools for the Improve phase Design of Experiments with R Part VI R Tools for the Control phase Process Control with R Part VII Further and Beyond Other Tools and Methodologies
- Part I Basics
- Six Sigma in a nutshell
- R from the beginning
- Part II R tools for the define phase
- Process Mapping with R
- Loss function analysis with R
- Part III R tools for the measure phase
- Measurement system analysis with R
- Pareto analysis with R
- Process capability analysis with R
- Part IV R tools for the analyze phase
- Charts with R
- Statistics and probability with R
- Statistical inference with R
- Part V R tools for the Improve phase
- Design of experiments with R
- Part VI R tools for the Control phase
- Process control with R
- Part VII Further and beyond
- Other tools and methodologies