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.
Webinar Objectives
- 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
Webinar Agenda
This webinar will cover the following topics:
Reliability Concepts and Reliability Data
- Reliability in Product and Process Development
- Unique Characteristics of Reliability Data
- Censored Data
- Setting Reliability Targets
Probability and Statistics Concepts
- Probability Distributions (e.g. Weibull, Lognormal, etc.)
- Reliability and Failure Probability
- Hazard Rate
- Mean Time to Failure
- Percentiles
Assessing & Selecting Parametric Models for Failure Time Distributions
- Probability Plotting
- Identify the Best Distribution(s)
Parametric Estimation of Reliability Characteristics
- Weibull Analysis (and other distributions)
- Precision of Estimates/Confidence Intervals
Introduction to Reliability Test Planning
- Reliability Estimation Test Plans
- Reliability Demonstration Test Plans
Webinar Highlights
- Understand key aspects of Reliability Data
- How to establish an effective reliability goal/target looks like
- Common measures of reliability performance (i.e. Reliability Statistics)
- How to determine appropriate probability distributions to model failure data
- How to use reliability models to predict reliability performance
- How to determine how much data is needed to estimate or demonstrate reliability.
Who Should Attend
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
