Predicting Product Lifetime using Reliability Analysis Methods Webinar
Time: 10:00 AM PST, 01:00 PM EST
Duration: 75 Minutes
Instructor: Steven Wachs
Participants will gain awareness of the overall methodology for setting reliability targets, estimating product reliability from test data and/or field data, and determining whether or not reliability targets are achieved. Participants will also learn how to calculate sample sizes for reliability testing.
Why Should you Attend
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This presents a difficult challenge in many industries with short product cycles and compressed product development timeframes. This webinar provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data.
Objectives of the Presentation:
- Understand key aspects of reliability data
- Learn what an effective reliability goal/target looks like
- Learn how reliability performance is typically measured (e.g. Reliability Statistics)
- How to determine appropriate probability distributions to model failure data
- How to use reliability models to predict reliability performance
- How much data is needed to estimate or demonstrate reliability