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Measurement System Analysis
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Introduction |
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In today manufacturing environment, measurement data are used for decision making to determine the necessity of manufacturing process adjustment, identify causes for failure or poor quality, comparison of different process parameters etc. However, the benefit of using such a data based procedure is largely determined by the quality of the measurement data.
In this course, the statistical aspect of measurement system will be explained, and the effect of the measurement system inaccuracies on process quality measurement will be illustrated. The method of performing the measurement system analysis will be demonstrated, and useful diagrams from the measurement system analysis will be explained. The application of the results from the measurement system analysis will be shown. |
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Course Objectives |
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What You Will Learn
• The important of measurement analysis.
• Type of measurement analysis used and their statistical principles.
• Application of the measurement analysis data.
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Course Outline |
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Important of Measurement System Analysis
Quality of measurement data; type of measurement system variations; effect of measurement issues
Analysis of Measurement System
Measurement system discrimination; problem of unacceptable discrimination; Study of statistical stability, bias, reproducibility, repeatability, linearity and part-to-part variation
Steps in Measurement System Analysis
Planning; short method; long method; gage performance curve
What to do with Measurement System Analysis Data
Identification sources of variation with measurement system analysis;
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Trainer(s) |
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Associate Professor Tan, Cher Ming |
Dr. Tan Cher Ming obtained his Electrical Engineering Degree from the National University of Singapore on 1984, and M.A. Sc and Ph.D in Electrical Engineering from the University of Toronto, Canada on 1987 and 1992 respectively. He has worked in the industry on reliability and failure analysis for 10 years before joining Nanyang Technological University. The companies he has worked with are Fairchild Semiconductor, Hewlett Packard, LiteOn Power Semiconductor (Taiwan), Chartered Semiconductor Mfg.
His research work is on Reliability engineering and failure analysis, nano-technology, power semiconductor, wafer bonding. He has published 150 papers in International Journal and Conferences. He has been invited to give several talks on reliability to the industry, and given a keynote speech in International Congress on Micro-reliability and Nano-reliability.
He is the immediate past Chair of IEEE Singapore Section, Chair of IEEE Nanotechnology Chapter in Singapore, Adjunct Senior Scientist in SIMTech, Fellow of Singapore Quality Institute, and Senior member in both the IEEE and ASQ. He was also awarded the first Distinguish Professor in Asia by Mathwork Inc. USA, and listed in Who’s Who in the World as well as Marquis Who’s Who in Science and Engineering, USA. He is also a reviewer of many international Journals, Chair of several International Conferences. He is the Chair of the Certified Reliability Engineers Program in the Singapore Quality Institute since 1999.
He is continuing giving consultation to industry in the area of reliability. Examples of some companies are Applied Materials, Delphi Automotive, Infineon Asia Pacific, Vestas R&D etc. He has also assisted RSAF to set up their electronic failure analysis Lab. |
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Who Should Attend |
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• Process Manager and Engineers
• Quality Manager and Engineers
Prerequisite
• Basic statistical knowledge
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Course Details |
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Date: |
7 July 2009 |
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Time: |
9:00am to 5:00pm |
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Venue: |
NTU@one-north campus, Executive Centre |
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Closing Date: |
23 June 2009 |
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Fee: |
Standard: SGD$390
Alumni: SGD$312 Group (3 & Above): SGD$351 |
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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 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)
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Cancellation & Refund Policy |
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Written notification to
cce@ntu.edu.sg or fax: (+65) 6774 2911 at least 10 days before course commencement |
No cancellation charges
(Full refund) |
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Written notification within 4 – 9 days before course commencement |
50% of course fees
(50% refund) |
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Written notification within 3 days before course commencement |
100% of course fees
(No refund) |
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