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Yooneun Lee

Assistant Professor

Full-Time Faculty

School of Engineering: Department of Engineering Management, Systems, and Technology


Email: Yooneun Lee
Phone: 937-229-4942
Kettering Laboratories Room 341 F
Website: Visit Site


Dr. Yooneun Lee, assistant professor, Department of Engineering Management, Systems and Technology, University of Dayton, received his doctoral degree in industrial engineering and operations research from Pennsylvania State University and his master’s degree in industrial and operations engineering from University of Michigan. Prior to coming to University of Dayton, Dr. Lee was an assistant professor of research at the University of Texas at San Antonio. He also accumulated three years of industrial experience while working at Samsung Engineering. His research interests include optimization under uncertainty, operational efficiency and productivity in service industry.

Selected Publications

  • Lee, Y., & Prabhu. V. V. (2019). Evaluation and monitoring community youth prevention programs using a robust productivity index. Socio-Economic Planning Science, 68, 100626.
  • Lee, Y., Kim, S., & Lee, J. (2019). Optimal timing of price change with strategic customers under demand uncertainty: A real option approach. Advances in Production Engineering and Management, 14, 379-390.

Selected Research and Work

  • CO-PI, Center for Advanced Manufacturing and Lean Systems (CAMLS) Membership Project Title: Incorporating Lean-Six Sigma Methodologies into the Institute for Integration of Medicine and Science (IIMS) - Phase 3, 2018-2019, Sponsor: University of Texas Health Science Center (UTHSC) at San Antonio.


  • Ph.D., Industrial Engineering and Operations Research, Pennsylvania State University, 2017
  • M.S., Industrial and Operations Engineering, University of Michigan, 2010

Courses Taught

  • ISE/IET 408 Lean Management and Six Sigma, Fall 2020
  • ENM 564 Lean Six Sigma for Engineers, Fall 2020

Research Interests

  • Optimization Under Uncertainty
  • Data Analytics in Healthcare
  • Operational Efficiency and Productivity in Service Industry