Bio

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, former director of the Operations Research 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

Tools:
PCV: Plan-Construct-Verify, structured planning for Claude Code
Logjam, Julia package for logistics engineering
ISE754 GPT
MHE GPT
Matlog: Logistics Engineering Matlab Toolbox
Lgpy: Logistics Engineering Python Package
GAOT: Genetic Algorithm Optimization Toolbox (zip)

Resources:
When AI Becomes a Learning Partner: New Research on Student Success (html)
Basic Concepts in Matlab (pdf)
Lecture Notes for Production System Design (pdf)
Material Handling Equipment (pdf)
Material Handling Equipment Taxonomy
Warehousing (pdf)

Area(s) of Expertise

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.

Publications

• Air movement operations planning heuristic improvement , Journal of Defense Analytics and Logistics (2025)
• Enhancing Military Load Planning: A Prioritized 2-D Orthogonal Packing Approach , (2025)
• I cast the drains down in Africa: AM-augmented casting as an enabler for the African manufacturing industry , Proceedings of the Design Society (2025)
• Implementing Trades of the National Football League Draft on Blockchain Smart Contracts , (2025)
• Military maritime load planning instances for prioritized two-dimensional orthogonal packing , Open MIND (2025)
• Synthetic Demand Flow Generation Using the Proximity Factor , Forecasting (2025)
• The 2-D Orthogonal Packing Problem with Multiple Levels of Prioritization: A Spatial Optimization Perspective , (2025)
• Identifying Best Performance Scenarios For Micro Nuclear Reactors During Grid Disruption , Transactions on Computer Science and Applications (2024)
• Implementing A Letter Of Credit Style Business Process For Small-Scale Contracting Using Smart Contracts , Transactions on Computer Science and Applications (2024)
• Implementing trades of the National Football League Draft on blockchain smart contracts , International Journal of Sports Marketing and Sponsorship (2024)

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