Estimating and Demonstrating Product Reliability
Steven Wachs Overview:
This webinar provides a solid overview of life data analysis for reliability estimation. Additionally, the webinar covers methods to demonstrate required reliability performance, especially when few or no failures occur. Attending the webinar will allow the participant to support product development teams with assuring product reliability requirements are met.
Participants will learn how to:
- Understand the difference between reliability estimation and reliability demonstration
- Develop reliability test plans that optimize available resources (e.g. testing time, number of units)
- Achieve confidence that product will perform successfully in the field
- Demonstrate that customer reliability requirements have been met
Why should you Attend:
This webinar provides methods that allow the risks of field failures due to inadequate designs or misunderstanding of product use conditions to be managed. Also, the webinar provides options to verify and demonstrate that customer reliability requirements have been achieved.
Areas Covered in the Session:
- Overview of Reliability
- Reliability Metrics and Specifications
- Estimating Reliability with Time-to-Failure Data
- Confidence Intervals and Bounds
- Demonstrating Reliability with zero or few failures
- Tradeoffs between Testing Time and Sample Size
- Impact of Assumptions on Test Plans
- Improving Demonstration Test Power
Who Will Benefit:
- Product Engineers
- Reliability Engineers
- Design/Development Engineers
- Process Engineers
- Test Engineers
- Quality Engineers
- Quality Assurance Personnel
- Project / Program Managers
- Manufacturing Personnel
Speaker Profile
Steve Wachs has 30 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve consults and provides workshops in industrial statistical methods worldwide. He also supports Integral Concepts’ Litigation / Expert Witness practice with data analysis.
Steve possesses an M.A. in Applied Statistics from University of Michigan (Ann Arbor), an M.B.A. from the Katz Graduate School of Business, University of Pittsburgh, and a B.S. in Mechanical Engineering from the University of Michigan (Ann Arbor).