Operations Management Lab
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
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
Reduction of makespan through Flexible Production and Remanufacturing in the Multi-stage Production System
Mitali Sarkar and Kun Soo Park
Computers & Industrial Engineering, 2023, Vol 177, p 108993
Product Design Outsourcing in a Supply Chain: Impact of the Design and Conformance Quality Trade-off
Seung Ho Yoo, Dawoon Jung, and Kun Soo Park
Operational Research, 2022, Vol 22, p 4029-4055
Awards
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2024-12-05
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2024-10-24
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2022-10-19
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2021-11-12