Industrial Statistics with Minitab - by Pere Grima Cintas & Lluis Marco Almagro & Xavier Tort-Martorell Llabres (Hardcover)

Book Synopsis

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented.

Industrial Statistics with MINITAB

• Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry.
• Explores statistical techniques and how they can be used effectively with the help of MINITAB 16.
• Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge.
• Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments.
• Is supported by an accompanying website featuring case studies and the corresponding datasets.

Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.

From the Back Cover

Industrial Statistics with Minitab
Pere Grima Cintas, Lluís Marco Almagro, Xavier Tort-Martorell Llabrés
Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain

Industrial Statistics with Minitab demonstrates the use of Minitab as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in Minitab are featured along with case studies for each of the statistical techniques presented.

Industrial Statistics with Minitab:

• Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry.
• Explores statistical techniques and how they can be used effectively with the help of Minitab 16.
• Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge.
• Emphasises data graphics and visualisation, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments.
• Is supported by an accompanying website featuring case studies and the corresponding datasets.

Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. This book can also be used as quick reference enabling the reader to be confident enough to explore other Minitab capabilities.

About the Author

Pere Grima, Professor, Department of the Technical University of Catalonia UPC, Barcelona, Spain.

Lluis Marco, Assistant Professor, Department of the Technical University of Catalonia UPC, Barcelona, Spain.

Xavier Tort-Martorell, Department Director Statistics Department, the Technical University of Catalonia UPC, Barcelona, Spain. Xavier Tort-Martorell is president elect of ENBIS
The authors possess a wide experience both in training and consulting. They have designed and delivered courses in various universities and at all levels, from undergraduate to postgraduate and professional training. Their activities have always been strongly linked to the business and industrial world. Most recently with a high focus on Six Sigma training and consulting they have certified more than 450 Black Belts in Spain and Latin America- . They have also advised many companies from different sectors on the implementation of quality improvement programs and the proper use of statistical methods. Among others: Hewlett-Packard, Samsung electronics, Alstom Transport, Siemens VDO, BBVA, Procter & Gamble and ITP.