**Six Sigma: Advanced Tools for Black Belts and Master Black Belts**

**ISBN/ASIN**: *9780470025833,9780470062005* | *2006* | *English* | *pdf* | *406/406* pages | *10.8* Mb

The 2007 winner of the Masing Book Prize sets out important Six Sigma concepts and a selection of up-to-date tools for quality improvement in industry.

Six Sigma is a widely used methodology for measuring and improving an organization’s operational performance through a rigorous analysis of its practices and systems.

This book presents a series of papers providing a systematic ‘roadmap’ for implementing Six Sigma, following the DMAIC (Define, Measure, Analyse, Improve and Control) phased approach. Motivated by actual problems, the authors offer insightful solutions to some of the most commonly encountered issues in Six Sigma projects, such as validation of normality, experimentation under constraints and statistical control of complex processes. They also include many examples and case studies to help readers learn how to apply the appropriate techniques to real-world problems.

Key features:Provides a comprehensive introduction to Six Sigma, with a critical strategic assessment and a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. Presents some prominent design features of Six Sigma, and a newly proposed roadmap for healthcare delivery. Sets out information on graphical tools, including fishbone diagrams, mind-maps, and reality trees. Gives a thorough treatment of process capability analysis for non-normal data. Discusses advanced tools for Six Sigma, such as statistical process control for autocorrelated data.

Consolidating valuable methodologies for process optimization and quality improvement, Six Sigma: Advanced Tools for Black Belts and Master Black Belts is a unique reference for practising engineers in the electronics, defence, communications and energy industries. It is also useful for graduate students taking courses in quality assurance.Content:

Chapter 1 Six Sigma: A Preamble (pages 1–17): H. S. Yam

Chapter 2 A Strategic Assessment of Six Sigma (pages 19–30): T. N. Goh

Chapter 3 Six Sigma SWOT (pages 31–39): T. N. Goh and L. C. Tang

Chapter 4 The Essence of Design for Six Sigma (pages 41–48): L. C. Tang

Chapter 5 Fortifying Six Sigma with OR/MS Tools (pages 49–69): L. C. Tang, T. N. Goh and S. W. Lam

Chapter 6 Process Variations and their Estimates (pages 71–83): L. C. Tang and H. S. Yam

Chapter 7 Fishbone Diagrams vs. Mind Maps (pages 85–91): Timothy Yoap

Chapter 8 Current and Future Reality Trees (pages 93–105): Timothy Yoap

Chapter 9 Computing Process Capability Indices for Nonnormal Data: A Review and Comparative Study (pages 107–130): L. C. Tang, S. E. Than and B. W. Ang

Chapter 10 Process Capability Analysis for Non?Normal Data with MINITAB (pages 131–149): Timothy Yoap

Chapter 11 Goodness?of?Fit Tests for Normality (pages 151–170): L. C. Tang and S. W. Lam

Chapter 12 Introduction to the Analysis of Categorical Data (pages 171–193): L. C. Tang and S. W. Lam

Chapter 13 A Graphical Approach to Obtaining Confidence Limits of Cpk (pages 195–210): L. C. Tang, S. E. Than and B. W. Ang

Chapter 14 Data Transformation for Geometrically Distributed Quality Characteristics (pages 211–222): T. N. Goh, M. Xie and X. Y. Tang

Chapter 15 Development of a Moisture Soak Model for Surface Mounted Devices (pages 223–236): S. H. Ong

Chapter 16 A Glossary for Design of Experiments with Examples (pages 237–255): H. S. Yam

Chapter 17 Some Strategies for Experimentation under Operational Constraints (pages 257–265): T. N. Goh

Chapter 18 Taguchi Methods: Some Technical, Cultural and Pedagogical Perspectives (pages 267–295): T. N. Goh

Chapter 19 Economical Experimentation via ‘Lean Design’ (pages 297–306): T. N. Goh

Chapter 20 A Unified Approach for Dual Response Surface Optimization (pages 307–322): L. C. Tang and K. Xu

Chapter 21 Establishing Cumulative Conformance Count Charts (pages 323–341): L. C. Tang and W. T. Cheong

Chapter 22 Simultaneous Monitoring of the Mean, Variance and Autocorrelation Structure of Serially Correlated Processes (pages 343–352): O. O. Atienza and L. C. Tang

Chapter 23 Statistical Process Control for Autocorrelated Processes: A Survey and an Innovative Approach (pages 353–370): L. C. Tang and O. O. Atienza

Chapter 24 Cumulative Sum Charts with Fast Initial Response (pages 371–380): L. C. Tang and O. O. Atienza

Chapter 25 CUSUM and Backward CUSUM for Autocorrelated Observations (pages 381–405): L. C. Tang and O. O. Atienza