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| The Worthington, A Renaissance Hotel Fort Worth, TX USA January 26-29, 2009 | |
| 2 0 0 8 T u t o r i a l P r o g r a m | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The RAMS Tutorial Program is the best in the industry. The tutorials are presented by leading researchers and practitioners in the field. We offer an informative and educational set of tutorials, ranging from introductory topics in reliability and maintainability engineering, to intermediate tutorials for further study, to advanced tutorials where new and innovative technologies are introduced. The tutorial sessions are linked to technical paper sessions, providing a smooth transitions for the attendees. Best of all, there is no additional charge to attend the RAMS tutorials. Two of the RAMS 2008 tutorials are profiled below: one is an award-winning classic and the other is brand new this year. Whet your appetite by reading the highlights of the two tutorials then scroll to the bottom of the page to peruse the complete list of this year's offerings. Make a note of those that are of interest to you and reserve your place in the tutorials when you register for the Symposium. Lessons Learned for Effective FMEAs The RAMS 2007 Alan O. Plait Tutorial Award Winner
"Lessons Learned for Effective FMEAs" captures 25 years of experience with many companies and teaches the application lessons to make FMEAs uniformly effective to improve reliability in products and processes. Attendees will learn how to achieve effective results with their individual FMEAs and how to implement an effective FMEA process. Carl Carlson, the presenter of this tutorial, is a consultant and instructor in the areas of FMEA, reliability program planning and other reliability engineering and management disciplines, supporting ReliaSoft Corporation. Prior to his consulting work, he had 20 years experience in reliability engineering and management positions at General Motors, most recently Senior Manager for the Advanced Reliability Group. Mr. Carlson holds a B.S. in Mechanical Engineering from the University of Michigan and has completed the Reliability Engineering sequence from the University of Maryland's Masters in Reliability Engineering program. He is an ASQ Certified Reliability Engineer. Carl says: "If there’s one thing I’ve learned from spending 25 years in the Reliability Engineering and Management field it’s the importance of selecting the right tools for the project and implementing them properly. Experience is a great teacher and the humility to learn from the mistakes one makes or observes is profoundly important." Here are a few excerpts and slides from Carl's presentation:
Introduction to Software Reliability Modeling A Brand New Tutorial for RAMS 2008
Dr. Daniel Jeske, a Professor of Statistics and Director of the Statistical Consulting Collaboratory at University of California, Riverside, is the presenter of this new tutorial. Dr. Jeske gained much of his experience pertaining to software reliability modeling while working on applications at AT&T/Lucent Bell Laboratories. Reliability has been one of his primary areas of research, and he has published papers on software reliability modeling in both the Statistics and Engineering literature. Here are a few excerpts and slides from Dan's presentation:
RAMS 2008 Tutorial Offerings
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Failure Mode and Effects Analysis (FMEA) is an example of a potentially powerful Reliability tool that sometimes does not live up to expectations. The reason for this is not that the tool itself is ineffective, but rather FMEA implementation is often not as effective as it can be.
This tutorial will provide an overview of software reliability growth models and software architecture models. Topics covered include the motivation and purpose of software reliability models, the type of data necessary to fit the models, statistical methods utilized to draw inferences from the models, and practical methods for dealing with obstacles encountered when trying to use the models. Real-world examples will be used to illustrate decisions that can be made by using the models. 
