Michael Kay
Industrial and Systems Engineering
- Phone: 919.515.2008
- Email: kay@ncsu.edu
- Office: Fitts-Woolard Hall 4161
Michael G. Kay has been a professor of Industrial Engineering at North Carolina State University since 1992. He is the Director of Integrated Manufacturing Systems Engineering. He is past-President and Liaison to the MHI Roundtable Advisory Committee 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
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)
Research Interests
Kay’s 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, and production system design.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctorate of Philosophy in Biological and Agricultural Engineering | North Carolina State University | 1990 |
| MSWPS | Master of Science in Wood and Paper Science | North Carolina State University | 1986 |
| BSBAE | Bachelor of Science in Biological and Agricultural Engineering | North Carolina State University | 1976 |
Discover more about Michael Kay
- Computational ‘Short Cuts’ Offer Fast Answers to Complex Supply Chain Problems – By Matt Shipman
- COVID and Touchless Logistics for Home Delivery – By Robert Handfield
- New Tool Aims to Assist Military Logistics in Evacuating Noncombatants
- New Tool Tackles Uncertainty in Military Logistics Planning
- Supply Chainers Go Pro
- Driverless Delivery Vehicles
- Faculty Profile: Michael Kay
Publications
- Identifying Best Performance Scenarios For Micro Nuclear Reactors During Grid Disruption
- Ivey, C., Hodgson, T., Kay, M., McConnell, B., & Thoney-Barletta, K. (2024, November 4). , . https://doi.org/10.31224/4072
- Implementing A Letter Of Credit Style Business Process For Small-Scale Contracting Using Smart Contracts
- Fukuzawa, M., Kay, M., McConnell, B., Thoney-Barletta, K., & Warsing, D. (2024, November 7). , . https://doi.org/10.31224/3847
- 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
