Michael Kay
Associate Professor
- Phone: 919.515.2008
- Email: kay@ncsu.edu
- Office: 4179 Fitts-Woolard Hall
Michael G. Kay has been an associate professor of Industrial Engineering at North Carolina State University since 1992. He is Interim Director of the Operations Research Graduate Program and is Associate Director of Graduate Programs in the ISE Department. He is the current President of the College-Industry Council on Material Handling Education.
Teaching
ISE 453: Design of Production, Logistics, and Service Systems
ISE 754: Logistics Engineering
Research
Home Delivery Logistics Networks using Driverless Delivery Vehicles
Public Logistics Networks
Multimedia Sensor Fusion for Intelligent Camera Control
Software
Matlog: Logistics Engineering Matlab Toolbox
Lgpy: Logistics Engineering Python Package
Julog: Logistics Engineering Julia Toolbox
GAOT: Genetic Algorithm Optimization Toolbox (zip)
Documents
Basic Concepts in Matlab (pdf)
Lecture Notes for Production System Design (pdf)
Material Handling Equipment (pdf)
Material Handling Equipment Taxonomy
Warehousing (pdf)
Discover more about Michael Kay
- Faculty Profile: Michael Kay
- New Tool Tackles Uncertainty in Military Logistics Planning
- Supply Chainers Go Pro
- Driverless Delivery Vehicles
Publications
- Designing a manufacturing network with additive manufacturing using stochastic optimisation
- Ahmed, R., Heese, H. S., & Kay, M. (2022, April 1), INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, Vol. 4. https://doi.org/10.1080/00207543.2022.2056723
- Minimizing Total Logistics Cost for Long-Haul Multi-Stop Truck Transportation
- Kay, M. G., Karagul, K., Sahin, Y., & Gunduz, G. (2021, September 23), TRANSPORTATION RESEARCH RECORD, Vol. 2676. https://doi.org/10.1177/03611981211041596
- On-Demand Logistics Service for Packages: Package Bidding Mechanism vs. Platform Pricing
- Tripathy, M., Ahmed, R., & Kay, M. (2021), 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715312
- Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand
- McDermott, K. C., Winz, R., Hodgson, T. J., Kay, M. G., King, R. E., & McConnell, B. M. (2021), Journal of Defense Analytics and Logistics, 5(2), 179–213. https://doi.org/10.1108/jdal-08-2020-0016
- 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, 26(6), 1145–1154. 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, 4(1), 41–69. 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), The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 7, 154851291986059. 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
