Michael Kay

Associate Professor

Interim Director of Operations Research Program


Ph.D. 1992

Industrial Engineering

NC State University

MS 1984

Industrial Engineering

University of Florida

BA 1981


University of Florida

Research Description

Main research focus is on the design of public logistics networks. Areas of research interest include logistics network design. metaheuristics, freight transportation, material handling, warehousing, facilities design, and genetic algorithms.


Challenges and opportunities to integrate the oldest and newest manufacturing processes: metal casting and additive manufacturing
Lynch, P., Hasbrouck, C., Wilck, J., Kay, M., & Manogharan, G. (2020), RAPID PROTOTYPING JOURNAL. https://doi.org/10.1108/RPJ-10-2019-0277
Digital Facility Layout Planning
Peron, M., Fragapane, G., Sgarbossa, F., & Kay, M. (2020), Sustainability. https://doi.org/10.3390/su12083349
Modeling and transportation planning for US noncombatant evacuation operations in South Korea
Kearby, J. A., Winz, R. D., Hodgson, T. J., Kay, M. G., King, R. E., & McConnell, B. M. (2020), Journal of Defense Analytics and Logistics, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JDAL-05-2019-0010
Rethinking reverse logistics: role of additive manufacturing technology in metal remanufacturing
Strong, D., Kay, M., Wakefield, T., Sirichakwal, I., Conner, B., & Manogharan, G. (2020), JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 31(1), 124–144. https://doi.org/10.1108/JMTM-04-2018-0119
Assessing uncertainty and risk in an expeditionary military logistics network
McConnell, B. M., Hodgson, T. J., Kay, M. G., King, R. E., Liu, Y., Parlier, G. H., … Wilson, J. R. (2019), Journal of Defense Modeling and Simulation. https://doi.org/10.1177/1548512919860595
Hybrid manufacturing—Locating AM hubs using a two-stage facility location approach
Strong, D., Kay, M., Conner, B., Wakefield, T., & Manogharan, G. (2019), Additive Manufacturing, 25, 469–476. https://doi.org/10.1016/j.addma.2018.11.027
Route planning methods for a modular warehouse system
Dayıoğlu, E. G., Karagül, K., Şahin, Y., & Kay, M. G. (2019), An International Journal of Optimization and Control: Theories & Applications (IJOCTA). https://doi.org/10.11121/ijocta.01.2020.00752
Time series anomaly detection from a markov chain perspective
Vasheghani Farahani, I., Chien, A., King, R. E., Kay, M. G., & Klenz, B. (2019), Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, 1000–1007. https://doi.org/10.1109/ICMLA.2019.00170
A Military Logistics Network Planning System
Rogers, M. B., McConnell, B. M., Hodgson, T. J., Kay, M. G., King, R. E., Parlier, G., & Thoney Barletta, K. (2018), Military Operations Research, 23(4), 5–24. https://doi.org/10.5711/1082598323405
A new method for generating initial solutions of capacitated vehicle routing problems
Karagul, K., Kay, M. G., & Tokat, S. (2018), Gazi University Journal of Science, 31(2), 489–513.

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