Michael Kay

Director of IMSEI and Associate Professor

  • Phone: 919.515.2008
  • Office: 4161 Fitts-Woolard Hall

Michael G. Kay has been a professor of Industrial Engineering at North Carolina State University since 1992. He is the Director of the Integrated Manufacturing Systems Engineering graduate program and past president of the College-Industry Council on Material Handling Education.

Teaching:
ISE 453: Design of Production, Logistics, and Service Systems
OR/ISE 501: Introduction to Operations Research
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
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
MHE GPT
Warehousing (pdf)

Research Interests

Michael G. Kay’s main research focuses on the design of public logistics networks. Areas of research interest include logistics network design, metaheuristics, freight transportation, material handling, warehousing, and production system design.

Education

DegreeProgramSchoolYear
Ph.D.Industrial EngineeringNC State University1992
MSIndustrial EngineeringUniversity of Florida1984
BAEconomicsUniversity of Florida1981

Discover more about Michael Kay

Publications

Implementing trades of the National Football League Draft on blockchain smart contracts
Fukuzawa, M. B., McConnell, B. M., Kay, M. G., Thoney-Barletta, K. A., & Warsing, D. P. (2024, January 12), INTERNATIONAL JOURNAL OF SPORTS MARKETING & SPONSORSHIP, Vol. 1. https://doi.org/10.1108/IJSMS-09-2023-0185
Two-stage stochastic programming model of US Army aviation allocation of utility helicopters to task forces
Nelson, R. J., Werner, J., Kay, M. G., King, R. E., McConnell, B. M., & Thoney-Barletta, K. (2023, November 18), JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, Vol. 11. https://doi.org/10.1177/15485129231209039
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

View all publications via NC State Libraries

Michael G. Kay