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In-Beom Park
In-Beom Park
Email verificata su mju.ac.kr
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Citata da
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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
1722020
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
352015
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
242014
Scalable scheduling of semiconductor packaging facilities using deep reinforcement learning
IB Park, J Park
IEEE Transactions on Cybernetics, 2023
202023
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
202021
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
192018
A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning
IB Park, J Huh, J Park
IEEE Access, 2023
22023
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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