The ASQ Reliability and Risk Division is pleased to present a regular series of reliability, maintainability and risk webinars featuring leading international practitioners, academics, and consultants. Our goal is to provide a forum for the continuing education of reliability professionals. To date we have provided over 150 webinars!
Webinars can be viewed live by simply signing up for free. All past webinars are archived and available for everyone!
We encourage you to attend the webinars and events, learn something and network! If you are interested in presenting a webinar please contact us today!
|ASQ RRD Series: Dispelling the myth that Quality and Reliability are '"Kissing Cousin's"
Reliability and Quality are often referred to as “Kissing Cousin’s” The implication is that Reliability is a derivative of Quality. This couldn’t be farther from the truth. Quality is focused on screening and improving production of a finalized design. Reliability is focused on creating a reliable design. There is little overlap between those two objectives, different tools, different program activities, different participants. In this webinar Adam Bahret of Apex Ridge will explore the difference between Quality and Reliability and highlight how Reliability is a fundamental component of the design process and the design itself.||13 Dec, 2018||12:00pm EST||1 hour||Register|
ASQ RRD Series: Big Data Analytics - Telematics Data Analysis
Automobile companies installed telematics modules on fleet vehicles, with the consent of the owner, to collect and store usage and environmental data. The volume of data was enormous. Different analytic methods were required for different data types but there were only a few data types to consider. The raw data needed to be standardized for different vehicle miles or time. Then counting data, like trips/day, were analyzed with simple probability distributions. State data, like switch setting, need to be analyzed for transitions and time duration in states. Continuous measurements are more difficult. Engineers frequently use bar histograms, but bar histograms quickly become unreadable when two or more data sets were combined in the same graphic. Methods were developed that allowed many histograms to be analyzed fleet usage patterns and develop the 5th, 50th, and 95th customer percentiles. The standards can then be validated using the customer data.
Dennis Craggs attended the University of Detroit and Wayne Statue University achieving Masters in Engineering Mechanics and Operations Research, is a licensed Professional Engineer, and is a Quality and Reliability Engineer. In the Aerospace, he worked at NASA and Teledyne CAE, and in Automotive, Ford and Chrysler. He applied the disciplines of fluid mechanics, heat transfer, mechanical and electrical design, testing, and development. He learned several programming languages and develop significant software. As a statistician, he assisted managers and engineers in the development, review, and approval of validation standards, analyzed warranty and test data, and developed methods to statis