Designed for practicing engineers, this course focuses on teaching you to increase product reliability. The course covers such topics as model product failure times, analyzing data to determine reliability characteristics, and other general data driven decisions to insure a reliable product.
- Minneapolis, MN (5332)
- Schedule and Travel Info Register
- August 27 – 31, 2012
- Member: $1795.00
- List: $1995.00
- Saint Petersburg, FL (5242)
- Schedule and Travel Info Register
- December 10 – 14, 2012
- Member: $1795.00
- List: $1995.00
- On-Site Training
- Request Information
- Need to train a group of five or more? Consider on-site training.
This instructor-led, classroom-based course delivers tools that will help you recognize and use the proper probability distribution to model product times to failure. You will learn how to analyze life data to determine reliability characteristics and to achieve reliability improvement of a product. You will also learn about reliability testing for determining and demonstrating a reliability value, and design procedures that are necessary to ensure a reliable product.
- Learning Objectives
- Demonstrate an understanding of the concepts of reliability engineering.
- Measure model times to failure using the appropriate probability distribution.
- Demonstrate an understanding of the relationship between the time to failure distribution, the reliability function, and the hazard rate.
- Determine a life test, estimate reliability values from the test data, and set confidence limits on the results.
- Use the design tools necessary to ensure a reliable product including prediction, allocation, and FMEA.
- Understand the differences in analyzing the reliability of a repairable and a non-repairable system.
- Who Should Attend
Quality or reliability managers/engineers, production/design engineers, and warranty analysts with engineering functions should attend this training. This course is designed for practicing engineers.
- More Information
Prerequisites
Familiarity with statistical concepts and probability is helpful but not required.
Course Data
- CEU Hours: 3.00
- ASQ RU: 3.00
- Audience: Intermediate
- Provider: ASQ
- Course ID: RE
- Course Length: 30 hours
- Cancellation Policy
- Instructors
