Introduction to engineering statistics and Lean Sigma: statistical quality control and design of experiments and systems

Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the 'lean sigma' hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introductionto Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), whichis critical for many organizations that seek to deliver desirable products which work first time. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners. Second edition of a successful book expands on two major topics of increasing relevance to organizations: lean production and design for six sigma Enables readers to identify which six sigma methodsare most suitable for particular scenarios INDICE: Statistical Quality Control and Six Sigma.- Define Phase and Strategy.- Measure Phase and Statistical Charting.- Analysze Phase.- Improve or Design Phase.- Control or Verify Phase.- Advanced SQC Methods.- SQC Case Studies.- SQC Theory.- DOE: The Jewel of Qualtiy Engineering.- DOE: Screening Using Fractional Factorials.- DOE: Response Surface Methods.- DOE: Robust Design.- Regression.- Advanced Regression and Alternatives.- DOEs and Regression Case Studies.- DOE and Regression Theory.- Optimization and Strategy.- Tolerance Design.- Design for Six Sigma.- Lean Sigma Project Design.

• ISBN: 978-1-84882-999-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 576
• Fecha Publicación: 01/02/2010
• Nº Volúmenes: 1
• Idioma: Inglés