Kevin Taaffe, Ph.D.
Associate Professor of Industrial Engineering
College of Engineering Computing and Applied Sciences
Contact: 864-656-0291 or firstname.lastname@example.org
Who is Dr. Taaffe?
Kevin Taaffe is an associate professor in the Department of Industrial Engineering. He has over 20 years of industry and academic experience. Prior to beginning his academic career, Kevin worked at American Airlines and Sabre managing many airport-related transportation projects. After a decade in industry, Kevin obtained his Ph.D. in industrial and systems engineering from the University of Florida in 2004. Since then, Kevin has been conducting research in health care logistics and emergency preparedness, transportation systems analysis, and inventory management, and his research has been funded by various private and federal entities. In particular, he has been solving health care logistics problems that address issues ranging from patient flow to operating room scheduling to emergency evacuation. Solution methodologies for these areas have involved simulation, dynamic programming, and optimization. In particular, he enjoys working on projects that bridge the gap between theoretical research and application.
For more information, see his Department Profile.
How Dr. Taaffe’s research is transforming health care
Kevin was awarded an IAHC Seed Grant to work with Greenville Health System to develop information technology-assisted methods to improve patient flow in perioperative services. The technology he is researching will allow hands-free documentation of events during patient flow and promote coordination between different units of the hospital. This research is related to an NSF-funded project conducted in conjunction with Larry Fredendall in the Management Department and Joel Greenstein in the Department of Industrial Engineering.
News and media related to Dr. Taaffe’s research
- NSF funds Clemson research of mobile technology for perioperative services, Media Relations, 10/9/12
Health Research Expertise Keywords
Operations, Patient Flow, Scheduling, Simulation, Optimization, Lean, Process Flow, Operations Research