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.
