Course Detail

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Design of Experiment (DOE)

Introduction

DOE is a structured, organized method that is used to determine the relationship between the different factors affecting a process and the output of that process. DOE involves designing a set of experiments, in which all relevant factors are varied systematically. When the results of these experiments are analyzed, they help to identify optimal conditions, the factors that most influence the results, as well as details such as the existence of interactions and synergies between factors. Thus, DOE can be used either in process development or process troubleshooting to improve process performance or to obtain a process that is robust to external sources of variability.

Course Objectives

By successful completion of this short-course, participants..
• should be able to understand and get insight into all the methods used in DOE.
• should be able to select and use these methods to design their experiments and analyze the data in order to optimize the process conditions and improve the quality of their product or service.
• should be able to train other employees in different levels in order to promote the application of DOE.

Course Outline

This course will be taught by means of many examples. The following topics will be thoroughly examined.
• Single factor experiments
• Factorial experiments (multiple-factor experiments)
• 2k factorial experiments
• Fractional factorial experiments
• Response surface methods (RSM)
• Taguchi's method – parameter designs

Trainer(s)

Associate Professor Wu, Zhang

Dr. Wu is currently an Associate Professor in the Division of Systems and Engineering Management, School of Mechanical and Aerospace Engineering, Nanyang Technological University. He obtained his Ph.D. degree from McMaster University in Canada. Dr. Wu has been teaching, conducting research and supervising PhD students in DOE, SPC, reliability and geometrical tolerance for more than 20 years. He has published 58 research papers in international journals in the area of quality engineering, including five papers in the most reputed Journal of Quality Technology.

Who Should Attend

People with a wide spectrum of interests centered on quality improvement and R&D experiments will benefit from this course. While the course is targeted at technical specialists, engineers, managers, trainers and researchers in engineering and scientific disciplines, managers and staff in other business (e.g., health care and government administration) will also find the course quite useful if they are going to conduct experiment or analyze data in order to improve their business performance.

Course Details

Date:

28 to 29 September 2009

Time:

9:00am to 5:00pm

Venue:

NTU@one-north campus, Executive Centre

Closing Date:

14 September 2009

Fee:

Standard: SGD$780 Alumni: SGD$624 Group (3 & Above): SGD$702

Registration fees inclusive of:

Course materials
Light refreshments
Lunch
Complimentary parking (1 entry/day) - applicable at NTU@one-north campus only.
Prevailing GST

Online Registration

>> CLICK HERE to Register Online

Methods of Payment

1. Credit Card (Visa and Mastercard only)

2. Cheque made payable to Nanyang Technological University

3. Invoice to Company (for Company Sponsored Participants)

4. E-invoice (for Government Organizations)

Cancellation & Refund Policy

Written notification to cce@ntu.edu.sg or fax: (+65) 6774 2911 at least 10 days before course commencement	No cancellation charges (Full refund)
Written notification within 4 – 9 days before course commencement	50% of course fees (50% refund)
Written notification within 3 days before course commencement	100% of course fees (No refund)