Journal & Conference

International Journal

• Minseok Kim, Yumin Kim, Hae Joong Kim*, Ensemble Model For Surface Defect Detection Of Rechargeable Battery Components (Accepted) 

• B. Kang, C. Park, H. Kim and S. Hong, "Bayesian Optimization for the Vehicle Dwelling Policy in a Semiconductor Wafer Fab," in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3320189 (Accepted).

• Vu, T.-T.-H.; Chang, T.-W.; Kim, H.*, Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners. Systems 2024, 12, 24. https://doi.org/10.3390/systems12010024

• Joo YH, Park H, Kim H, Choe R, Kang Y, Jung J-Y. Traffic Flow Speed Prediction in Overhead Transport Systems for Semiconductor Fabrication Using Dense-UNet. Processes (2022). https://doi.org/10.3390/pr10081580

• Yoo, D., Kim, W., Park, S., Kim, H., Lee, S., Anticipatory transport system with hybrid linear and nonlinear forecasting using streaming wafer process data, Applied Soft Computing (2022). https://doi.org/10.1016/j.asoc.2022.109122.

• Claire Su-Yeon Park, Mehmet Kabak, Haejoong Kim, Sangmin Lee, Greta G Cummings, No More Unimplementable Nurse Workforce Planning, Contemporary Nurse (2022)

• Kim, H., Park, J. & Lee, J. Storage prioritization by redistributing wafer lot transfers to enhance real-world fab throughput. Flex Serv Manuf J (2022). https://doi.org/10.1007/s10696-022-09449-8

• Shin, K., Jang, H. & Kim, H. An MDP-based lifter assignment algorithm for inter-floor transportation in semiconductor fabrication. Int J Adv Manuf Technol (2022). https://doi.org/10.1007/s00170-021-08387-3

•  S. Lee, D. -E. Lim, Y. Kang and H. J. Kim*, Clustered Multi-Task Sequence-to-Sequence Learning for Autonomous Vehicle Repositioning, IEEE Access, vol. 9, pp. 14504-14515, 2021

•  Hae Joong Kim, Dae-Eun Lim, Sangmin Lee, Deep Learning-Based Dynamic Scheduling for Semiconductor Manufacturing With High Uncertainty of Automated Material Handling System Capability, IEEE Transactions on Semiconductor Manufacturing 33:12-22, 2020

• Sangmin Lee, Hae Joong Kim, Seoung Bum Kim, Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing, Applied Soft Computing Journal 86, 2020

• Haejoong Kim, Dae-Eun Lim,  Sangmin Lee (2019). Development of Deep-Learning-Based Scheduling Approach to Improve the Automated Material Handling System Throughput Capacity in a Semiconductor Manufacturing Facility. Journal of the Korea Management Engineers Society, 24(2), 73-83.

• Matias Siebert, Kelly Bartlett, Haejoong Kim, Shabbir Ahmed, Junho Lee, Dima Nazzal, George Nemhauser, Joel Sokol, Lot Targeting and Lot Dispatching Decision Policies for Semiconductor Manufacturing: Optimization under Uncertainty with Simulation Validation, International Journal of Production Research 56: 2018

• Yoon Sang Cho, Sang Min Lee, Hae Joong Kim, Seoung Bum Kim, Detection of Faulty Equipment Sequence of Multivariate Processes in Semiconductor Manufacturing, Journal of Korean Institute of Industrial Engineers 44(5):325-333, 2018

• Haejoong Kim, Hanil Jeong, Jinwoo Park, Integrated Model for Production Planning and Scheduling in a Supply Chain using Benchmarked Genetic Algorithm, The International Journal of Advanced Manufacturing Technology 39:1207-1226, 2008

• Haejoong Kim, Jongkyoung Park, Tai-Woo Chang, Hanil Jeong, Ki Tae Kim, Jinwoo Park, A model and analysis of bullwhip effect using a SCOR-based framework, Communications in Computer and Information Science 5; 12-20, 2007

• Eoksu Sim, Haejoong Kim, Chankwon Park, Jinwoo Park, Performance Analysis of Alternative Designs for a Vehicle Disassembly System using Simulation Modeling, Lecture Notes in Artificial Intelligence 3398: 59-62, 2005

• Eoksu Sim, Haejoong Kim, Chankwon Park, Jinwoo Park, A Generic Network Design for a Closed-loop Supply Chain Using Genetic Algorithm, Lecture Notes in Computer Science 3103: 1214-1225, 2005

Domestic Journal

• 김백현, 김재윤, 강민정, 이상민, 임대은, 김해중. (2023). 자율주행로봇의 정체 회피를 위한 기계학습 기반의 경로선정. 한국전자거래학회지, 28(1), 15-28, 10.7838/jsebs.2023.28.1.015

• 원종운, 이재원, 강민정, 오수빈, 김해중, 임대은. (2022). Job Shop 제조라인의 설비 가공지연 최소화를 위한 시계열 예측 기반의 자율주행 로봇 할당 제어. 한국전자거래학회지, 27(4), 121-133, 10.7838/jsebs.2022.27.4.121

• 한광욱, 강봉권, 김해중, 홍순도. (2022). 유전알고리즘 기반 로트 타겟팅 최적화 연구: 반도체 포토공정을 대상으로. 대한산업공학회지, 48(5), 477-485, 10.7232/JKIIE.2022.48.5.477

• 김해중, 이종성. (2021). 반도체 FAB에서 웨이퍼 로트 적기운반을 위한 재공 저장 위치 선정 연구. 경영과학, 38(1), 47-55, 10.7737/KMSR.2021.38.1.047

• 김해중, 임대은. (2021). 반도체 EDS 검사 공정의 설비 용량 계획에 관한 최적화 모델, 대한설비관리학회지, 26(1), 45-52

• 김해중, 임대은, 이상민. (2019). 반도체 제조라인 내 물류자동화시스템의 처리능력 향상을 위한 딥러닝 기반 디스패칭 방법론. 한국경영공학회지, 24(2), 73-83.

• 조윤상, 이상민, 김해중, 김성범. (2018). 반도체 제조공정 내 불량설비 시퀀스 탐지. 대한산업공학회지, 44(5), 325-333, 10.7232/JKIIE.2018.44.5.325

• 김지연, 김해중, 신기태, 박진우. (2007). 운영 효율성과 환경 영향을 고려한 공급사슬 평가에 관한 연구. 한국시뮬레이션학회 논문지, 16(3), 29-38. 

• 노현일, 신기태, 박진우, 김해중. (2007). 획득가치관리 기반 무기체계 사업의 위험평가를 위한 Fuzzy-AHP 위험분류체계 모델 제안. 한국경영공학회지, 12(2), 121-134.

International Conference

• Bonggwon Kang, Chiwoo Park, Haejoong Kim, Soondo Hong, "Surrogate Model-based Simulation Optimization in a Semiconductor Wafer Fab: A Case Study of the Vehicle Dwelling Policy", Smart Manufacturing Forum for the SEMICON KOREA, 2024, January 31 - February 02, Seoul, Korea (invited), program book link: https://www.semiconkorea.org/ko/node/9166. 

• Gyusun Hwang, Jihyeon Park and Haejoong Kim, Establishing a digital twin system using logistics simulation and BI tools - Case study in an automotive industry, ICONI2023, 2023.12

• Bonggwon Kang, Chiwoo Park, Haejoong Kim, Soondo Hong, "Surrogate Model-based Simulation Optimization of Vehicle Positioning Strategy in a Semiconductor Fab", INFORMS Annual Meeting, 2023, October 15-18, Phoenix, AZ, USA (invited), program book link: https://meetings.informs.org/wordpress/phoenix2023/agenda/. 

• Thi-Thu-Huyen Vu, Yong-Jun Im, YeonSoo Kim, Haejoong Kim, and Taiwoo Chang, Experimental Results on Deep Learning-Based Defect Classification in Lithium-ion Battery Component Manufacturing, ICONI2023, 2023.12

• M. Kim, H. Son, B. Ha, S. Kim, B. Cha, H. Kim, Real-time heuristics for balancing mixed-model assembly lines, ICONI2023, 2023.12

• JS Park, HJ Son, SH Kim, HJ Kim, Unsupervised Learning with Adaptive Thresholds for Metal Surface Defect Detection, ICCSAI, 2023.12

• Minseok Kim, Yumin Kim, Hae Joong Kim, Ensemble Model For Surface Defect Detection Of Rechargeable Battery Components, ICICIC 2023, 2023.08

• H Kim, R Choe, D Lim, S Lee, Predictive Traffic Blocking to Avoid Congestion in Large-scale Automated Material Handling Systems, Winter Simulation Conference 2022

• Kim, H., Lim, DE. (2018). Deep-Learning-Based Storage-Allocation Approach to Improve the AMHS Throughput Capacity in a Semiconductor Fabrication Facility. In: Li, L., Hasegawa, K., Tanaka, S. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2018. Communications in Computer and Information Science, vol 946. Springer, Singapore. https://doi.org/10.1007/978-981-13-2853-4_18 

Domestic Conference

• 김민석, 손형준, 김소연, 하병욱, 김해중, 혼류생산 공정에서 예측불가능한 병목을 고려한 실시간 제품 투입 결정에 관한 연구, 2023년 대한산업공학회 추계학술대회, 2023.11

• 강봉권, 박치우, 김해중, 한광욱, 홍순도, 반도체 물류시스템 내 차량배차 위한 대체모델 기반 시뮬레이션 최적화, 2023년 대한산업공학회 추계학술대회, 2023.11

• 박재상, 임현아, 김서현, 김해중, 제조공정에서 다중 객체 재식별 성능 향상을 위한 Seq2Seq LSTM 활용, 2023년 대한산업공학회 추계학술대회, 2023.11

• 김유민 외. 관심영역 추출과 영상 분할 지도를 이용한 딥러닝 기반의 이미지 검색 기술, 전자거래학회 하계, 2023.07

• 김민석 외. 초소형 정밀 부품의 불량검출을 위한 앙상블 학습기반 알고리즘 개발, 대한산업공학회 춘계, 2023.05

• 김민석 외. 복수의 이진 분류 모델을 활용한 다중분류 불량판정 정확도 향상. 대한산업공학회 추계, 2022.11 

• 한광욱, 김해중, 홍순도. 시뮬레이션 기반 반도체 FAB 내 동적 로트 스케줄링 규칙 연구. 한국산업경영시스템학회 추계, 2022.11 

• 김해중, 박지혁, 이종성. 반도체 물류 환경에서 3단계 WIP 편성 전략. 대한산업공학회 추계, 2019.11