Emilio L. Cano is Adjunct Lecturer at the Department of Mathematics at University of Castilla-La Mancha and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos. Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos and member of the Global Young Academy. Andres Redchuk is Master Black Belt and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos.

From the book reviews: "The reviewed book deals with the use of R software within six sigma methodology. ... To help a practitioner read this book, the authors conclude each chapter with a summary and further reading, case studies, and practical exercises. ... The authors have combined their scientific, technological, industrial, and pedagogical skills so that the reader finds in the book an innovative, rigorous, and economical way to apply Six Sigma methodology to continuous quality improvement." (Adriana Hornikova, Technometrics, Vol. 55 (1), February, 2013)

• 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.

Emilio L. Cano is Adjunct Lecturer at the Department of Mathematics at University of Castilla-La Mancha and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos. Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos and member of the Global Young Academy. Andres Redchuk is Master Black Belt and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos.

From the book reviews: "The reviewed book deals with the use of R software within six sigma methodology. ... To help a practitioner read this book, the authors conclude each chapter with a summary and further reading, case studies, and practical exercises. ... The authors have combined their scientific, technological, industrial, and pedagogical skills so that the reader finds in the book an innovative, rigorous, and economical way to apply Six Sigma methodology to continuous quality improvement." (Adriana Hornikova, Technometrics, Vol. 55 (1), February, 2013)

• 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.

Emilio L. Cano is Adjunct Lecturer at the Department of Mathematics at University of Castilla-La Mancha and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos. Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos and member of the Global Young Academy. Andres Redchuk is Master Black Belt and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos.

From the book reviews: "The reviewed book deals with the use of R software within six sigma methodology. ... To help a practitioner read this book, the authors conclude each chapter with a summary and further reading, case studies, and practical exercises. ... The authors have combined their scientific, technological, industrial, and pedagogical skills so that the reader finds in the book an innovative, rigorous, and economical way to apply Six Sigma methodology to continuous quality improvement." (Adriana Hornikova, Technometrics, Vol. 55 (1), February, 2013)

• 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.