Session: 1A, Monday 8:00-12:15
Core Tutor: C. Richard Cassady, Ph.D.
The purpose of this tutorial is to provide attendees with basic coverage of the traditional, fundamental probability models used to describe, improve, and optimize system reliability and maintainability. This coverage requires the discussion of some basic concepts from probability and distribution theory. No specific models are endorsed. Instead, emphasis is placed on identifying the key assumptions associated with each model.
Richard Cassady is a Professor in the Department of Industrial Engineering and the Director of the Freshman Engineering Program at the University of Arkansas. Prior to joining the faculty at UofA, he was on the faculty at Mississippi State University. He received his Ph.D., M.S. and B.S. all in industrial and systems engineering from Virginia Tech. His primary reliability research interests are in repairable systems modeling. This work includes the analysis and development of equipment maintenance policies including preventive maintenance, selective maintenance and cannibalization. He is a Senior Member of IIE, and a member of ASEE, INFORMS and SRE. He is also a member of the RAMS Management Committee.
An Introduction to Probability Models in Reliability and Maintainability
Session: 1A, Monday 8:00-12:15
Core Tutor: C. Richard Cassady, Ph.D.
The purpose of this tutorial is to provide attendees with basic coverage of the traditional, fundamental probability models used to describe, improve, and optimize system reliability and maintainability. This coverage requires the discussion of some basic concepts from probability and distribution theory. No specific models are endorsed. Instead, emphasis is placed on identifying the key assumptions associated with each model.