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.
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.
Course Objectives
- Understand the difference between reliability estimation and reliability demonstration
- Understand methods for estimating reliability
- Develop reliability test plans that optimize available resources (e.g. testing time, number of units)
- Achieve confidence that the product will perform successfully in the field
- Demonstrate that customer reliability requirements have been met
Webinar Takeaway
This program will cover the following topics:
- 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
Speakers
Steven Wachs,
Principal Statistician ,
Integral Concepts, IncSteven Wachs has 25 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.
Who Should Attend
- Product Engineers
- Reliability Engineers
- Design Engineers
- Quality Engineers
- Quality Assurance Managers
- Project/Program Managers
- Manufacturing Personnel
