Product Reliability requirements must be satisfied like all other performance requirements prior to product launch. However, since reliability is a function of time, the methods for verifying that reliability performance has been verified differ than for most other performance characteristics.
This webinar will present several approaches for verifying that reliability targets or specifications have been achieved at the desired level of confidence. Specifically, approaches using time-to-failure data to estimate reliability metrics as well as demonstration tests, where minimum reliability may be demonstrated with zero or few failures are discussed.
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:
The target audience includes anyone with a vested interest in product quality and reliability
Quality Assurance Managers
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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.
Mr. Wachs 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. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.