This webinar will show how you can use failure data to predict expected future failures, proactively drive quality and reliability improvement and react quickly to emerging issues.
Premature failures alienate customers and significantly impair brand and company reputations. Failure data may be easily modeled to forecast future failures and identify emerging issues that present financial risks to the organization.
This 60-minute presentation will show how you can use failure data to predict expected future failures, proactively drive quality and reliability improvement and react quickly to emerging issues.
Why Should You Attend:
Manufacturers design and develop products based on an expected product lifetime. Many manufacturers conduct extensive reliability testing to minimize the risk that products will fail prematurely. Despite these efforts, unexpected failures occur due to design flaws, manufacturing process changes, or a misunderstanding of the product use environment.Premature failures alienate customers and significantly impair brand and company reputations. Failure data may be easily modeled to forecast future failures and identify emerging issues that present financial risks to the organization.
This 60-minute presentation will show how you can use failure data to predict expected future failures, proactively drive quality and reliability improvement and react quickly to emerging issues.
Areas Covered in the Webinar:
- Modeling Time-To-Failure Data.
- Predicting Future Failures.
- Developing a Warranty Forecast.
- Accounting for Model Uncertainty.
- Identifying Non-Homogeneous Groups.
- Handling Non-Homogenous Groups (e.g. Model Revisions/Design Levels).
Who Will Benefit:
- Product Development Personnel
- Product Engineers
- Managers
- Executives Finance Staff
- Reliability Professionals
- Quality Personnel
Course Provider
Steven Wachs,
