Process Optimization: Management Review and Update

     
Course Objectives

The power of statistics tools for quality improvement has been well established. Among these tools, Design of Experiments has been commonly recognized as the most important in bringing about the best in product and process performance in realistic industrial environments. In the past three decades, various versions of Design of Experiments has been advocated for the quality profession, such as Shainin Techniques, Taguchi Methods, Robust Design and Six Sigma, each having its share of advocates, critiques, and controversies. It is therefore important that the various "brands" of Design of Experiments and Quality Engineering be well understood before an organization decides to adopt a particular one for implementation. This short course will cater to managers and engineers who do not have the time for the technical details but would like to acquire a good understanding and update of the essential principles and relative merits of the various statistical approaches available for quality excellence. No prior knowledge of Statistics is assumed.

 

Target audience:

Managers overseeing R & D, product, process, operations and quality functions, also engineers seeking an up-to-date review of this subject. No prior training in Statistics is assumed.
Participants are encouraged to bring their "problems" to class for discussion and possible solutions.

 

Course Duration:

1 day (9 am - 5 pm)

 

Course Outline:

Statistical approach to quality and reliability
From SPC to Six Sigma
Application of Shainin Techniques
Multi-factor studies in industry
Mechanics of experimental design
Screening, characterization, and optimization
Sequential experimentation strategies
Mutli-input, multi-output analysis
Integration with QFD and FMEA
Taguchi Methods: concepts and procedures
Manufacturing and environmental noise management
Robust design principles and examples
Potential and limitations of Taguchi Methods
Process optimality identification and tracking
Six Sigma: what, why, when, how, where, who
Phases and techniques in a Six Sigma project
Trends in Quality Engineering
Case studies

 

Instructor:

Professor Goh Thong Ngee,PhD, PEng, is an Academician of International Academy for Quality. He specializes in the application of statistical methodologies for excellence in quality and productivity. With more than two decades' experience in teaching, research and industrial consulting, his mission is to research and promote cutting-edge ideas and techniques in statistical quality engineering. He has conducted numerous public and in-company traiing programs and special projects in industry in Design of Experiments, Taguchi Methods and Robust Design, and is a certified Six Sigma instructor.

An ackowledged expert in this field, Professor Goh currently serves on the editorial boards of several international journals: Quality Engineering (of the American Society for Quality), Quality and Reliability Engineering International, International Journal of Reliability, Quality and Safety Engineering, International Journal of Production Economics, The TQM Magazine, and others. He is also the Chairman, Board of Examiners for the Certified Quality Engineer, Certified Reliability Engineer, Certified Quality Supervisor and Certified Quality Manager examinations held locally.

A frequent invited speaker at international conferences and corporate meetings, Professor Goh has conducted this particular program many times in the past, with excellent feedback and acclaim from course participants.

 

Enquiry:

Prof TN Goh may be conducted by e-mail
isegohtn@nus.edu.sg