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Design of Experiment (DOE)
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Introduction |
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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. |
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Objectives |
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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.
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Outline |
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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
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Trainer(s) |
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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. |
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Who Should Attend |
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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.
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Details |
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Date(s): |
For in-house arrangements only |
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Time: |
9:00am to 5:00pm |
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Venue: |
To be arranged with NTU-CCE |
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Closing Date: |
18 December 2013 |
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Course Fee: |
Standard:
S$00
NTU/NIE Alumni, Staff & Students:
S$00
Group (3 & Above):
S$00
NTUC Member:
S$00 |
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Registration fees inclusive of:
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Online Registration |
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>> CLICK HERE to Register Online
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Methods of Payment |
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1.
Credit Card (Visa, American Express and Mastercard only)
2.
Cheque made payable to Nanyang Technological University
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Invoice to Company (for Company Sponsored Participants)
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E-invoice (for Government Organizations)
5.
Telegraphic Transfer or Bank Draft (Note: All related charges are to be
borne by participant)
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Cancellation & Refund Policy |
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A written
notification to cce@ntu.edu.sg or fax to
6774 2911 before
course closing date. |
No cancellation
charges
(Full refund) |
A written notification on or after course
closing date.
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No Refund
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Replacement Policy |
Given a 3 days notice before course commencement, companies may replace
participants who have signed up for the course. Terms and conditions
apply. |
Terms and Conditions |
• Course is subject to a minimum
participation before commencement
• Course is subject to a first-come-first-serve basis in light of
overwhelming responses
• NTU-CCE reserves the right to change or cancel any course or trainer,
in light of unforeseen circumstances
• All details are correct at time of dissemination |
