Kellie Schneider

Contact Information

Kellie R. Schneider

Assistant Professor

  • Full-Time Faculty

Biography

Dr. Kellie Schneider is an assistant professor in the Department of Engineering Management, Systems and Technology at the University of Dayton. Prior to joining the faculty at the University, she was an instructor in the Freshman Engineering Program at the University of Arkansas. She received her bachelor’s, master’s and doctoral degrees in industrial engineering from the University of Arkansas. Dr. Schneider’s research interests include engineering education, community-based operations research, and quality and reliability.

Selected Publications

  • Schneider, K., C. Rainwater, E. Pohl, I. Hernandez, and J.E. Ramirez-Marquez. 2013. Social network analysis via multi-state reliability and conditional influence models. Reliability Engineering and System Safety 109: 99-109.
  • Guzman, M.S., E.A. Pohl, K. Schneider, and C. Rainwater. 2012. Application of reliability methods to social networks. Military Operations Research 17, no. 4: 51-58.
  • Maillart, L.M., C.R. Cassady, C. Rainwater, and K. Schneider. 2009. Selective maintenance decision-making over extended planning horizons. IEEE Transactions on Reliability 58, no. 3: 147-159.
  • Yeung, T.G., C.R. Cassady, and K. Schneider. 2008. Simultaneous optimization of control charts and age-based preventive maintenance policies under an economic objective. IIE Transactions 40, no. 2: 147-159.

Courses Taught

  • ENM 503 – Engineering analysis
  • ENM 560 – Quality assurance
  • ENM 565 – Reliability engineering I

Degrees

  • Ph.D., University of Arkansas
  • M.S., Industrial Engineering, University of Arkansas
  • B.S., Industrial Engineering cum laude, University of Arkansas

Professional Activities

  • Institute of Industrial Engineers (IIE), member
  • American Society of Engineering Education (ASEE), member

Research Interests

Dr. Schneider’s primary area of research involves the use of operations research methodologies and reliability methods to model, evaluate and quantify the interactions of constituents and the dissemination of information within various organizations. She has also been involved in research in the areas of reliability and maintainability, quality control and management, and engineering education.