3.5-Hr Virtual Training: Predicting Product Life Using Reliability Analysis

In this training program, 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 will provide an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data.

Learning 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
• Analyze multiple failure modes to develop overall product reliability
• Determine how much data is needed (or testing time) to estimate or demonstrate reliability

Areas Covered in the Webinar:

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 and Reliability Metrics

• Probability Distributions (e.g. Weibull, Lognormal, etc.)
• Reliability and Failure Probability
• Hazard Rate
• Mean Time to Failure
• Percentiles

Assessing and Selecting Models (Distributions) for Failure Data

• Probability Plotting
• Identify the Best Distributions

Estimation of Reliability Characteristics

• Weibull Analysis (and Other Distributions)
• Precision of Estimates/Confidence Intervals
• Statistical and Graphical Results
• Handling Multiple Failure Modes
• Comparing Groups/Designs/Suppliers

Introduction to Reliability Test Planning

• Reliability Estimation Test Plans
• Reliability Demonstration Test Plans

Introduction to Reliability of Systems

• Series Systems
• Parallel Systems
• K-out-of-n Systems
• Complex Systems
• Introduction to System Modeling, Reliability Allocation

Other Topics

• Warranty Forecasting
• Introduction to Accelerated Life Testing

Who Will Benefit:

Anyone with a vested interest in product quality and reliability, such as:

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