A reinforcement learning approach to robust scheduling of semiconductor manufacturing facilities IB Park, J Huh, J Kim, J Park IEEE Transactions on Automation Science and Engineering 17 (3), 1420-1431, 2020 | 176 | 2020 |
Fast scheduling of semiconductor manufacturing facilities using case-based reasoning J Lim, MJ Chae, Y Yang, IB Park, J Lee, J Park IEEE Transactions on Semiconductor Manufacturing 29 (1), 22-32, 2015 | 35 | 2015 |
Setup change scheduling for semiconductor packaging facilities using a genetic algorithm with an operator recommender B Chung, J Lim, IB Park, J Park, M Seo, J Seo IEEE Transactions on Semiconductor Manufacturing 27 (3), 377-387, 2014 | 24 | 2014 |
Scalable scheduling of semiconductor packaging facilities using deep reinforcement learning IB Park, J Park IEEE Transactions on Cybernetics, 2023 | 22 | 2023 |
Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence dependent family setups B Paeng, IB Park, J Park IEEE Access 9, 101390-101401, 2021 | 20 | 2021 |
Learning to dispatch operations with intentional delay for re-entrant multiple-chip product assembly lines J Huh, I Park, S Lim, B Paeng, J Park, K Kim Sustainability 10 (11), 4123, 2018 | 19 | 2018 |
A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning IB Park, J Huh, J Park IEEE Access, 2023 | 2 | 2023 |
공장 간 이동이 있는 반도체 패키징 라인을 위한 심층 강화학습 기반 스케줄링 이채원, 박인범 대한산업공학회 춘계공동학술대회 논문집, 1934-1934, 2023 | | 2023 |
반도체부품 수요 및 납기 불확실성을 고려한 안전재고 설정 프레임워크 황호신, 김수영, 오진우, 정세진, 박인범 반도체디스플레이기술학회지 22 (2), 104-111, 2023 | | 2023 |
Deep Reinforcement Learning Based Scheduler for Flexible Job Shops with Sequence Dependent Setups 박인범 서울대학교 대학원, 2020 | | 2020 |