연구 분야
운영관리 연구실은 기업의 구매조달, 판매, 재무, 마케팅, 공급망, 물류 등의 기능들이 효율적으로 운영될 수 있는
생산계획과 재고관리 최적화 방안을 수리적 모형과 데이터기반 AI 기법들을 활용하여 연구하고 있습니다.
Our research aims to optimize the operations of key business functions—including procurement, sales, finance, marketing, supply chain, and logistics—using analytical models and data-driven AI techniques in production scheduling and inventory management.
최근 논문
Optimal overbooking and allocation decisions for a carrier with multiple forwarders in air cargo industry
Jiyong Kim, Byeong Kwon Lee, Kun Soo Park, Kwanghun Chung
Computers & Industrial Engineering, 2026, Vol 212, 111585
Pricing and wage decisions for on-demand food delivery platforms with multiple customer classes and courier pools
Yoo Seok Seo, JeongWook Lim, Byeong Kwon Lee, Kun Soo Park
International Journal of Production Economics, 2025, Vol 289, 109795
Battery swapping, vehicle rebalancing, and staff routing for electric scooter sharing systems
Ga Eun Lee, Jun Soo Lee, and Kun Soo Park
Transportation Research: Part E, 2024, Vol 186, 103540
Awards
News
-
2025-12-02
-
2025-11-14
