Estimating and Demonstrating Product Reliability: Achieving Optimal Performance

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 from 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.

By attending the webinar, you will: 

• Obtain a solid overview of life data analysis for reliability estimation.
• Learn methods to demonstrate required reliability performance, especially when few or no failures occur.
• Understand trade-offs between sample sizes and testing times

The webinar will enable participants to assist product development teams in ensuring product reliability requirements are met.

• 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

This webinar 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
• Trade-offs between Testing Time and Sample Size
• Impact of Assumptions on Test Plans
• Improving Demonstration Test Power

The target audience includes personnel involved in product/process development and manufacturing - 

• Product Engineers
• Reliability Engineers
• Design Engineers
• Quality Engineers
• Quality Assurance Managers
• Project / Program Managers
• Manufacturing Personnel