Seokcheon Lee
Engineering · Purdue University West Lafayette
Publications
94
Citations
2,799
Est. group size
~3
Recurring co-author estimate
Active years
25
Publishing since 2002
Seokcheon Lee works on logistics and transportation optimization, focusing on problems like vehicle routing, drone and truck delivery systems, disaster relief logistics, and robotic scheduling. His research combines mathematical optimization, machine learning (including reinforcement learning and neural networks), and simulation to design more efficient and resilient delivery, emergency-response, and supply chain systems.
Publication output has fluctuated over the last decade, peaking in 2019 and 2022, but has slowed somewhat in the past two to three years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Electric vehicle charging on the go via unmanned aerial vehicle: Optimal charging policy
Computers & Industrial Engineering · 2025
- Battery drones versus hydrogen fuel cell drones for last-mile delivery
Computers & Industrial Engineering · 2025
- Integrated System Design for Post-Disaster Management: Multi-Facility, Multi-Period, and Bi-Objective Optimization Approach
Systems · 2024
- The humanitarian vehicle routing problem with non-routineness of trips
Socio-Economic Planning Sciences · 2024
- A multi-agent reinforcement learning model for inventory transshipments under supply chain disruption
IISE Transactions · 2023
- Drone routing problem with truck: Optimization and quantitative analysis
Expert Systems with Applications · 2023
- The multi-depot pickup and delivery problem with capacitated electric vehicles, transfers, and time windows
Computers & Industrial Engineering · 2023
- A systematic survey of multicriteria models in humanitarian logistics
International Journal of Disaster Risk Reduction · 2023
- Two-echelon collaborative routing problem with heterogeneous crowd-shippers
Computers & Operations Research · 2023
- The Principle-Based EMS Logistics Policies
Automation, collaboration, and e-services · 2023
- Optimal scheduling and quantitative analysis for multi-flying warehouse scheduling problem: Amazon airborne fulfillment center
Transportation Research Part C Emerging Technologies · 2022
- Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search
International Journal of Production Research · 2022
- Evolutionary neural network for learning of scalable heuristics for pickup and delivery problems with time windows
Computers & Industrial Engineering · 2022
- GMM clustering for in-depth food accessibility pattern exploration and prediction model of food demand behavior
Socio-Economic Planning Sciences · 2022
- Engineering Applications of Social Welfare Functions
Automation, collaboration, and e-services · 2022
- Automation, collaboration, and e-services×8
- Computers & Industrial Engineering×7
- Procedia Manufacturing×5
- International Journal of Production Research×4
- arXiv (Cornell University)×3
- Mithun Goutham
Engineering · The Ohio State University
- Minyue Zhu
Engineering · The Ohio State University
- Reem Khir
Engineering · Purdue University West Lafayette
- Yongzheng Dai
Mathematics · The Ohio State University
- Zhengyi Li
Business, Management and Accounting · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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