Conference on Product Reliability 2016 Seminar in Salt Lake City

This event qualifies for 12 RAC

Course "Predicting and Improving Product Reliability" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

Overview:

Although a primary objective of reliability analysis is to improve product reliability, there are many possible reasons for collecting and analyzing reliability data. Several examples are the following:

Assessing product reliability in the field
Predicting product warranty costs
Estimate replacement part/spares requirements
Assessing the effect of a proposed design change
Demonstrating product reliability to customers or government agencies
Comparing components from multiple suppliers
Comparing components from different production periods, operating environments, or materials
Improving reliability through the use of laboratory experiments

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. Methods for estimating the reliability of subsystems and systems are also discussed. Participants will also learn how to calculate sample sizes for reliability testing and utilize reliability models to develop forecasts of future failures (e.g. warranty forecasts).

Why should you attend?

Understand reliability concepts and unique aspects of reliability data
Understand underlying probability and statistical concepts for reliability analysis
Develop competency in the modeling and analysis of time-to-failure data
Understand reliability metrics and how to estimate and report them
Estimate reliability of subsystems and systems
Determine if reliability specifications are met (at specified confidence level) or whether design improvements are required
Develop competency in the planning of reliability tests (excluding ALT)
Analyze existing warranty data to predict future returns
Develop awareness of more advanced topics in Reliability

Who will benefit:

The target audience includes anyone with a vested interest in product quality and reliability

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

Agenda:

Day 1 Schedule

Lecture 1:

Reliability Concepts and Reliability Data

Reliability in Product and Process Development
Unique Characteristics of Reliability Data
Censored Data

Probability and Statistics Concepts

Basic Probability Concepts
Probability Distributions (e.g. Weibull, Lognormal, etc.)

Lecture 2:

Probability and Statistics Concepts (cont'd)

Probability Distribution Functions
CDF and Reliability Functions
Reliability Metrics: Hazard Rate, Mean Time to Failure, Percentiles
Conditional Reliability
Burn-In (for Infant Mortality)

Lecture 3:

Assessing ∓ Selecting Models (Distributions) for Failure Data

Probability Plotting with and without Censored Data
Identifying the Best Distribution(s)
Criteria for Comparing Models

Lecture 4:

Estimation of Reliability Characteristics

Estimation Methods (Maximum Likelihood, Rank Regression)
Reliability/Weibull Analysis (and other distributions)
Precision of Estimates/Confidence Intervals

Day 2 Schedule

Lecture 1:

Estimation of Reliability Characteristics (cont'd)

Handling Multiple Failure Modes
Comparing Reliability of Different Groups

Lecture 2:

Introduction to Reliability of Systems

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

Lecture 3:

Introduction to Reliability Test Planning

Test planning regimes
Reliability Estimation Test Plans
Reliability Demonstration Test Plans
Sample Sizes for Estimation and Demonstration Test Plans
Sample Size / Testing Time Trade-offs

Lecture 4:

Analysis of Warranty Data

Data Setup
Identifying Models for Failure Data
Forecasting Future Warranty Returns
Non-Homogeneous Production Periods

Quick Contact:

NetZealous DBA as GlobalCompliancePanel

Phone: 1-800-447-9407

Fax: 302-288-6884

Email: support@globalcompliancepanel.com

Website: http://www.globalcompliancepanel.com

Registration Link - http://bit.ly/29sLgYL-Product-Reliability

Follow on LinkedIn: https://www.linkedin.com/company/globalcompliancepanel

Speaker and Presenter Information

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.

Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty.

Education

M.A., Applied Statistics, University of Michigan, 2002

M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992

B.S., Mechanical Engineering, University of Michigan, 1986