Understanding the Improvement Engine Behind Six Sigma


Six Sigma had been well recognized as an imperative for quality excellence and bussiness success. The effectiveness of Six Sigma depends to a very large extent on its data-based methodologies: at the core of the Six Sigma initiative is the IMPROVE or OPTIMIZE phase where critical data on process or product behavior are collected and analyzed, leading to effective actions for performance enhancement. The engine for Six Sigma driven improvements is therefore a set of statistical ideas and procedures chosen for their analytical power as well as practicality.

The purpose of this workshop is to provide, to those not in a position to learn the details, an overview and appreciation of the strategic statistical tools used in Six Sigma for quality excellence. The explanations will be intutitive rather than mathematical, supplemented by examples from manufacturing and transactional situations. At the end of the workshop, participants will see how Six Sigma actually goes beyond concepts to hard techniques, and have a good understanding of the way in which analytical tools are deployed in actual Six Sigma projects to being about improvements in complex processes and products.

This workshop has been presented many times before to international audiences, with excellent feedback. No prior knowledge of Six Sigma or statistics is assumed on the part of the audience.



4 Hours

Professor T N Goh, PhD(University of Wisconsin-Madison), PE, of the Industrial and Systems Engineering Department at the National University of Singapore, specializes in the application of statistical methodologies for excellence in quality and productivity.
With three decades' experience in teaching, research and industrial consulting, he is a certified Six Sigma instructor and a frequent keynote specker at international conferences and corporate meetings.

Prof Goh has published more than 200 technical papers in the field of quality and is an elected Academician of the International Academy for Quality. He is currently serving on the editorial boards of several leading international publications including Quality Engineering (of the American Society for Quality), Quality and Reliability Engineering International, International Journal of Reliability, Quality, and Safety Engineering, TQM Magazine, International Journal of Production Economics and others.


For Further Information,

Contact: isegohtn@nus.edu.sg