Publications

International Journal - SCI(E) & SSCI 

1. Yoo, H., Lee, J., & Moon, I*. (2024). An integrated approach for an aircraft routing and fuel tankering problem. Transportmetrica A: Transport Science, 1-28.

2. Lee, J., Shin, Y., & Moon, I*. (2024). A hybrid deep reinforcement learning approach for a proactive transshipment of fresh food in the online–offline channel system. Transportation Research Part E: Logistics and Transportation Review, 187, 103576.

3. Lee, J., & Moon, I*. (2024). A decomposition approach for robust omnichannel retail operations considering the third-party platform channel. Transportation Research Part E: Logistics and Transportation Review, 184, 103466.

4. Lee, J., Ko, C., & Moon, I*. (2024). E-commerce supply chain network design using on-demand warehousing system under uncertainty. International Journal of Production Research, 62(5), 1901-1927.

5. Lee, J., Lee, K., & Moon, I*. (2022). A reinforcement learning approach for multi-fleet aircraft recovery under airline disruption. Applied Soft Computing, 129, 109556.

(* corresponding author)

Domestic Journal

Working Papers

1. Dynamic decision making for emission reduction measures in maritime voyages using reinforcement learning (Under review)

2. E-commerce Supply Chain Network with Flexible Leasing Capacity of Fulfillment Centers Using Robust Optimization (Under review)

3. E-commerce Supply Chain Planning with Space-as-a-Service: Two-stage Stochastic Programming Approach (Under review)

4. Adaptive LNG Supply Chain Planning under Demand Uncertainty (Under review)

5. Semiconductor Fabrication Reconfiguration for Responding to Changes in Product Mix: A Multi-Objective Tool Reallocation Model (In preparation for submission)

6. Empty container repositioning problem considering strategies for folding and unfolding foldable containers under uncertainty (In preparation for submission)

Proceeding

1. Lee, J., Park, J., and Moon, I. (2021). Inventory and commitment decisions for on-demand warehousing system. In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part I (pp. 455-463). Springer International Publishing.

International Conference

1. Lee, J., Shin, Y., and Moon, I. Perishable inventory management in the online-offline channel system considering proactive transshipment. The 17th International Congress on Logistics and Supply Chain Management, 2023

2. Lee, J., Park, J., and Moon, I. Inventory and commitment decisions for on-demand warehousing system. APMS 2021 Conference: Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

Domestic Conference

1. 오관석, 이준혁, 박재형. " 반도체 제조 및 생산 시스템의 동적 병목현상 발생 방지를 위한 수리 모델 기반의 대응 시스템 개발", 2025 대한산업공학회 춘계학술대회, 2025.06.20

2. 이준혁. "Application of Reinforcement Learning and Optimization to Supply Chain Management", 2025 한국SCM학회, 2025.05.09

3. 이다빈,이준혁, 문일경. "Dynamic Decision Making for Emission Reduction Measures in Maritime Voyages using Reinforcement Learning", 2024 대한산업공학회 추계학술대회, 2024.10.25

4. 유혜민, 이준혁, 문일경. "An Integrated Approach for Aircraft Routing and Fuel Tankering Problem". 2023 대한산업공학회 추계학술대회, 2023.11.03

5. 이준혁, 문일경. "온디맨드(On-demand) 공유 창고를 활용한 이커머스 공급망 네트워크 설계", 2021 추계 공동학술대회-한국SCM학회, 한국물류과학기술학회, 한국로지스틱스학회, 2021.11.01

6. 이준혁, 이경식, 문일경, "강화학습을 이용한 공항 임시폐쇄 상황에서의 항공 일정계획 복원", 2020 추계 공동학술대회-한국SCM학회, 한국물류과학기술학회, 한국로지스틱스학회, 2020.10.29

Awards

1. 이준혁, 문일경. 2021 추계 공동학술대회-한국SCM학회, 한국물류과학기술학회, 한국로지스틱스학회 최우수논문상

2. 이준혁, 이경식, 문일경. 2020 추계 공동학술대회-한국SCM학회, 한국물류과학기술학회, 한국로지스틱스학회 최우수논문상

Patents

1. 문일경, 이준혁. 강화학습을 이용한 항공기 일정 계획 시뮬레이션 시스템 및 그 방법 : 출원 (10-2022-0109661)