Product Reliability Seminar 2016
Event on 2016-11-03 09:00:00
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 fieldPredicting product warranty costsEstimate replacement part/spares requirementsAssessing the effect of a proposed design changeDemonstrating product reliability to customers or government agenciesComparing components from multiple suppliersComparing components from different production periods, operating environments, or materialsImproving 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 dataUnderstand underlying probability and statistical concepts for reliability analysisDevelop competency in the modeling and analysis of time-to-failure dataUnderstand reliability metrics and how to estimate and report themEstimate reliability of subsystems and systemsDetermine if reliability specifications are met (at specified confidence level) or whether design improvements are requiredDevelop competency in the planning of reliability tests (excluding ALT)Analyze existing warranty data to predict future returnsDevelop 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 EngineersReliability EngineersDesign EngineersQuality EngineersQuality Assurance ManagersProject / Program ManagersManufacturing Personnel Agenda: Day 1 Schedule Lecture 1: Reliability Concepts and Reliability Data Reliability in Product and Process DevelopmentUnique Characteristics of Reliability DataCensored Data Probability and Statistics Concepts Basic Probability ConceptsProbability Distributions (e.g. Weibull, Lognormal, etc.) Lecture 2: Probability and Statistics Concepts (cont'd) Probability Distribution FunctionsCDF and Reliability FunctionsReliability Metrics: Hazard Rate, Mean Time to Failure, PercentilesConditional ReliabilityBurn-In (for Infant Mortality) Lecture 3: Assessing ∓ Selecting Models (Distributions) for Failure Data Probability Plotting with and without Censored DataIdentifying 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 ModesComparing Reliability of Different Groups Lecture 2: Introduction to Reliability of Systems Series SystemsParallel SystemsK-out-of-n SystemsComplex SystemsIntroduction to System Modeling, Reliability Allocation Lecture 3: Introduction to Reliability Test Planning Test planning regimesReliability Estimation Test PlansReliability Demonstration Test PlansSample Sizes for Estimation and Demonstration Test PlansSample Size / Testing Time Trade-offs Lecture 4: Analysis of Warranty Data Data SetupIdentifying Models for Failure DataForecasting Future Warranty ReturnsNon-Homogeneous Production Periods Speaker: Steven Wachs Principal Statistician, Integral Concepts, Inc 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 Location: Salt Lake City, UT Date: November 3rd & 4th, 2016 and Time: 9:00 AM to 6:00 PM Venue: Hilton Garden Inn Salt Lake City Airport Address: 4975 Wiley Post Way, Salt Lake City, Utah, 84116, USA Price: ,295.00 (Seminar Fee for One Delegate) Register now and save 0. (Early Bird) Until September 20, Early Bird Price: ,295.00 from September 21 to November 01, Regular Price: ,495.00 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/2d7mNHJ-Product-Reliability Follow on LinkedIn: https://www.linkedin.com/company/globalcompliancepanel Seminar Fee for One Delegate – 95.00
at Airport Hilton
5151 Wiley Post Way
Salt Lake City, United States