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Start Date
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Mon, 01/11/2010
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End Date
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Mon, 01/11/2010
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Time
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9:00 AM to 5:00 PM
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SKU
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RATE-0835-02
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Location
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Building | |
Room | 601 |
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Sessions
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1
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Format
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Days
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Type
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Classroom
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Dr. E. A. Elsayed is Professor of the Department of Industrial Engineering, Rutgers University. He is also the Director of the NSF/ Industry/ University Co-operative Research Center for Quality and Reliability Engineering, Rutgers-Arizona State University. His research interests are in the areas of quality and reliability engineering and Production Planning and Control. He is the co-author of Quality Engineering in Production Systems, McGraw Hill Book Company, 1989, and the author of Reliability Engineering, Addison-Wesley, 1996. These two books received the 1990 and 1997 IIE Joint Publishers Book-of-the-Year Award respectively.
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Program Overview
The Fundamentals of Quality Engineering is an introductory course that addresses issues of quantifying quality, use of quality control approaches for variables and attributes, shift detection in process mean and variance, optimum tolerance design, quality loss and multivariate quality control. Quality engineers are responsible for ensuring the highest standards of products and services. These specialized engineers maintain these standards by identifying mistakes and learning to prevent them.
Who Should Attend?
This course is for professional engineers with an interest in understanding the fundamentals of product quality and control.
Skills You Will Acquire
You will gain an understanding of the quality control system. You will also learn how to evaluate and prevent product failures, how to work with control charts, and tolerance design.
Program Outline
1. Quality Value and Engineering
2. Quality Definitions
3. Quality Engineering
4. Quality and Process Capability
5. Traditional Quality Control Process
6. Variable Control Charts
7. Attribute Control Charts
8. Loss Function and Quality Level
9. Derivation of the Loss Function
10. Types of Characteristics
11. Quality Evaluations for Different Characteristics
12. Tolerance Design
13. N Type
14. L Type
15. S Type
16. Method for Process Improvements
17. Preventive Tool Change
18. Automatic Process Diagnosis
19. Use of Redundant Machines>
20. Off-Line Quality Engineering
21. Sensors Technology
Text Book
Course materials and handouts will be provided.