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Predicting Product Life with Reliability Analysis Methods

Duration : 90 Minutes

Steven Wachs,

Steven 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.
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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.

Course 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

Why Should You Attend:

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. 

Course Outline:

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

What You Get:

• Training Materials
• Live Q&A Session with our Expert
• Participation Certificate
• Access to Signup Community (Optional)
• Reward Points

Who Will Benefit:

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

Please reach us at 1-888-844-8963 for any further assistance or if you wish to register


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Subject : Predicting Product Life with Reliability Analysis Methods

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