| Deep learning-based dynamic scheduling for semiconductor manufacturing with high uncertainty of automated material handling system capability H Kim, DE Lim, S Lee IEEE Transactions on Semiconductor Manufacturing 33 (1), 13-22, 2020 | 58 | 2020 |
| A generic network design for a closed-loop supply chain using genetic algorithm E Sim, S Jung, H Kim, J Park Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004 | 56 | 2004 |
| Lot targeting and lot dispatching decision policies for semiconductor manufacturing: optimisation under uncertainty with simulation validation M Siebert, K Bartlett, H Kim, S Ahmed, J Lee, D Nazzal, G Nemhauser, ... International Journal of Production Research 56 (1-2), 629-641, 2018 | 24 | 2018 |
| Do less teaching, do more coaching: toward critical thinking for ethical applications of artificial intelligence CSY Park, H Kım, S Lee Journal of Learning and Teaching in Digital Age 6 (2), 97-100, 2021 | 22 | 2021 |
| Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing S Lee, HJ Kim, SB Kim Applied Soft Computing 86, 105904, 2020 | 22 | 2020 |
| Integrated model for production planning and scheduling in a supply chain using benchmarked genetic algorithm H Kim, HI Jeong, J Park The International Journal of Advanced Manufacturing Technology 39, 1207-1226, 2008 | 22 | 2008 |
| Clustered multi-task sequence-to-sequence learning for autonomous vehicle repositioning S Lee, DE Lim, Y Kang, HJ Kim IEEE Access 9, 14504-14515, 2021 | 15 | 2021 |
| Deep-learning-based storage-allocation approach to improve the AMHS throughput capacity in a semiconductor fabrication facility H Kim, DE Lim Asian Simulation Conference, 232-240, 2018 | 7 | 2018 |
| Performance analysis of alternative designs for a vehicle disassembly system using simulation modeling E Sim, H Kim, C Park, J Park Asian Simulation Conference, 59-67, 2004 | 7 | 2004 |
| A model and analysis of the bullwhip effect using a SCOR-based framework H Kim, J Park, TW Chang, H Jeong, KT Kim, J Park AsiaSim 2007: Asia Simulation Conference 2007, Seoul, Korea, October 10-12 …, 2007 | 6 | 2007 |
| Diffusion of innovations-informed knowledge translation strategy to implement optimal safe nursing workforce policy in practice CSY Park, S Lee, H Kim, M Kabak Florence Nightingale Journal of Nursing 30 (1), 92, 2022 | 4 | 2022 |
| 운영 효율성과 환경 영향을 고려한 공급사슬 평가에 관한 연구 김지연， 김해중， 신기태， 박진우 한국시뮬레이션학회 논문지 16 (3), 29-38, 2007 | 4 | 2007 |
| Traffic Flow Speed Prediction in Overhead Transport Systems for Semiconductor Fabrication Using Dense-UNet YH Joo, H Park, H Kim, R Choe, Y Kang, JY Jung Processes 10 (8), 1580, 2022 | 3 | 2022 |
| Anticipatory transport system with hybrid linear and nonlinear forecasting using streaming wafer process data D Yoo, W Kim, S Park, B Oh, H Kim, S Lee Applied Soft Computing 125, 109122, 2022 | 3 | 2022 |
| No more unimplementable nurse workforce planning CSY Park, M Kabak, H Kim, S Lee, GG Cummings Contemporary Nurse 58 (2-3), 237-247, 2022 | 3 | 2022 |
| Bayesian Optimization for the Vehicle Dwelling Policy in a Semiconductor Wafer Fab B Kang, C Park, H Kim, S Hong IEEE Transactions on Automation Science and Engineering, 2023 | 1 | 2023 |
| 반도체 제조공정 내 불량설비 시퀀스 탐지 조윤상， 이상민， 김해중， 김성범 대한산업공학회지 44 (5), 325-333, 2018 | 1 | 2018 |
| 자동차부품의 재활용률 증대를 위한 역공급사슬 (Reverse Supply Chain) 에 관한 연구 유미연， 박진우， 김해중， 심억수 한국경영과학회 학술대회논문집, 639-642, 2004 | 1 | 2004 |
| Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners TTH Vu, TW Chang, H Kim Systems 12 (1), 24, 2024 | | 2024 |
| Storage prioritization by redistributing wafer lot transfers to enhance real-world fab throughput H Kim, J Park, J Lee Flexible Services and Manufacturing Journal 35 (3), 599-625, 2023 | | 2023 |
Sangmin LeeKwangwoon University在 kw.ac.kr 的电子邮件经过验证
