Journals
Journals
2026+
Chae-Won Lee and In-Beom Park*, "A Deep Reinforcement Learning-Guided Rollout Approach for Adaptable Scheduling of Semiconductor Packaging Facilities", IEEE Transactions on Systems, Man, and Cybernetics: Systems, under revision
Donghun Lee, Taeyeon Roe, Jimin Go, In-Beom Park*, and Kwanho Kim*, "ElectroTwin: A Digital Twin-Driven Framework for Designing and Scheduling of Electroplating Facilities”, to appear in International Journal of Precision Engineering and Manufacturing-Green Technology (Ack 2022R1G1A1011756 & ext.)
In-Beom Park and Jaeseok Huh*, “A Genetic Algorithm with Feasibility-Agnostic Encoding and Three-Phase Decoding for Scheduling Semiconductor Manufacturing Facilities Under Queue Time Limits”, Expert Systems with Applications, Vol. 301, 130310, Mar. 2026 (Ack 2022R1G1A1011756 & RS-2024-00433001 & ext.)
2025
Yooseok Lim, In-Beom Park, and Sujee Lee*, "A Reinforcement Learning Framework for Personalized Anticoagulation Dosing in Critical Care: Integrating Batch-Constrained Policy Optimization and Off-Policy Evaluation", IEEE Access, Vol. 13, Dec. 2025
Jahun Kim, Sangjun Lee, In-Beom Park*, and Kwanho Kim*, “A Multi-Head Attention-based TimesNet for Heat Production Planning under Unknown Future Demands”, Energies, Vol. 18, No. 22: 5963, Nov. 2025
Jungwoo Ahn, Sangjun Lee, In-Beom Park*, and Kwanho Kim*, “Joint Planning of Heat and Power Production Using Hybrid Deep Neural Networks”, Energies, Vol. 18, No. 22: 5905, Nov. 2025
Sukhyun Cho, Dokyun Kim, Jonghun Park, and In-Beom Park*, “TSDNet: A Two-Stage Decomposition-Based Hybrid Deep Neural Network for Long-Term Time Series Forecasting”, Intelligent Data Analysis, Vol. 29, No. 6, Nov. 2025 (Ack RS-2024-00433001 & ext.)
Donghun Lee, In-Beom Park*, and Kwanho Kim*, "A Self-Imitation Learning Approach for Scheduling Evaporation and Encapsulation Stages of OLED Display Manufacturing Systems", Robotics and Computer-Integrated Manufacturing, Vol. 93, 102917, Jun. 2025 (Ack 2022R1G1A1011756)
~2024
Donghun Lee, In-Beom Park*, and Kwanho Kim*, "An Incremental Learning Approach to Dynamic Parallel Machine Scheduling with Sequence-Dependent Setups and Machine Eligibility Restrictions", Applied Soft Computing, Vol. 164, 112002, Oct. 2024 (Ack 2022R1G1A1011756)
In-Beom Park and Jonghun Park*, "Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning", IEEE Transactions on Cybernetics, Vol. 53, No. 6, Jun. 2023, pp. 3518-3531
In-Beom Park, Jaeseok Huh*, and Jonghun Park, "A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning", IEEE Access, Vol. 11, May. 2023, pp. 50631-50641
Bohyung Paeng, In-Beom Park*, and Jonghun Park, "Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling with Sequence Dependent Family Setups", IEEE Access, Vol. 9, Jul. 2021, pp. 101390-101401 [code]
In-Beom Park, Jaeseok Huh*, Joongkyun Kim, and Jonghun Park, "A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities", IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 3, Jul. 2020, pp. 1420-1431
Jaeseok Huh, In-Beom Park, Seongmin Lim, Bohyung Paeng, Jonghun Park, and Kwanho Kim*, "Learning to Dispatch Operations with Intentional Delay for Re-Entrant Multiple-Chip Product Assembly Lines", Sustainability, Vol. 10, No. 11, Nov. 2018, pp. 4123-4143
Junseok Lim, Moon-Jung Chae, Yongseok Yang, In-Beom Park, Jaeyong Lee, and Jonghun Park*, "Fast Scheduling of Semiconductor Manufacturing Facilities Using Case Based Reasoning", IEEE Transactions on Semiconductor Manufacturing, Vol. 29, No. 1, Feb. 2016, pp. 22-32
Beom-Suk Chung, Junseok Lim, In-Beom Park, Jonghun Park*, Minseok Seo, and Jinwook Seo, "Setup Change Scheduling for Semiconductor Packaging Facilities Using a Genetic Algorithm with an Operator Recommender", IEEE Transactions on Semiconductor Manufacturing, Vol. 27, No. 3, Aug. 2014, pp. 377-387
권순우, 오원준, 안성혁, 이현서, 이호열, 박인범*, 강화학습과 시뮬레이션을 활용한 Wafer Burn-In Test 공정 스케줄링, 반도체디스플레이기술학회지, Vol. 23, No. 2, Jun. 2024, pp. 107-113 (Ack 2022R1G1A1011756)
황호신, 김수영, 오진우, 정세진, 박인범*, 반도체부품 수요 및 납기 불확실성을 고려한 안전재고 설정 프레임워크, 반도체디스플레이기술학회지, Vol. 22, No. 2, Jun. 2023, pp. 104-111