NESIS: a neutral schema for a web-based simulation model exchange service across heterogeneous simulation software. - Ju-Yeon Lee; Hyoung Seok Kang; Sang Do Noh; Jong Hun Woo; Phillippe Lee (Int. J. Comput. Integr. Manuf., 2011)

Systematisation of ship production management and case study for ship block assembly factory. - Jong Hun Woo; Young-Joo Song (Int. J. Comput. Integr. Manuf., 2014)

Development of a simulation method for the subsea production system. - Jong Hun Woo; Jong Ho Nam; Kwang Hee Ko (J. Comput. Des. Eng., 2014)

A vision-based system for monitoring block assembly in shipbuilding. - Minsung Kim; Woosung Choi; Byung-Chul Kim; Hokyeong Kim; Jae Hun Seol; Jong Hun Woo; Kwang Hee Ko (Comput. Aided Des., 2015)

A ship block logistics support system based on the shipyard simulation framework. - Yong-Kuk Jeong; Byeong-Seop Kim; Jong-Gye Shin; Phillippe Lee; Jong Hun Woo; Jong-Moo Lee (WSC, 2016)

Construction of standardised data structure for simulation of mid-term scheduling of shipbuilding process. - Jong Ho Nam; Jong-Hak Lee; Jong Hun Woo (Int. J. Comput. Integr. Manuf., 2016)

Validation and verification of shipyard logistics simulation system and its use case identification. - Yong-Kuk Jeong; Hui-Qiang Shen; SeungHoon Nam; Youngmin Kim; Jong-Gye Shin; Phillippe Lee; Jae-Ho Choi; Jong Hun Woo (WSC, 2017)

Development of an evaluation framework of production planning for the shipbuilding industry. - Jong-Moo Lee; Yong-Kuk Jeong; Jong Hun Woo (Int. J. Comput. Integr. Manuf., 2018)

Development of simulation framework for shipbuilding. - Jong Hun Woo; Daekyun Oh (Int. J. Comput. Integr. Manuf., 2018)

Factors Affecting Shipyard Operations and Logistics: A Framework and Comparison of Shipbuilding Approaches. - Jo Wessel Strandhagen; Yong-Kuk Jeong; Jong Hun Woo; Marco Semini; Magnus Wiktorsson; Jan Ola Strandhagen; Erlend Alfnes (APMS (2), 2020)

Machine Learning (Reinforcement Learning)-Based Steel Stock Yard Planning Algorithm. - Jong Hun Woo; Young In Cho; Sang Hyeon Yu; So Hyun Nam; Haoyu Zhu; Dong-Hoon Kwak; Jong Ho Nam (WSC, 2020)

Simulation-based planning system for shipbuilding. - Yong Gil Lee; Suheon Ju; Jong Hun Woo (Int. J. Comput. Integr. Manuf., 2020)

Development of a Reinforcement Learning-Based Adaptive Scheduling Algorithm for Block Assembly Production Line. - Jong Hun Woo; Young In Cho; So Hyun Nam; Jong Ho Nam (WSC, 2021)

Automation of load balancing for Gantt planning using reinforcement learning. - Jong Hun Woo; Byeong-Seop Kim; SuHeon Ju; Young In Cho (Eng. Appl. Artif. Intell., 2021)

Minimize makespan of permutation flowshop using pointer network. - Young In Cho; So Hyun Nam; Ki Young Cho; Hee Chang Yoon; Jong Hun Woo (J. Comput. Des. Eng., 2021)

Characterizing Digital Dashboards for Smart Production Logistics. - Erik Flores-García; Yongkuk Jeong; Magnus Wiktorsson; Dong-Hoon Kwak; Jong Hun Woo; Thomas Schmitt; Lars Hanson (APMS (2), 2022)

Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment. - Yongkuk Jeong; Erik Flores-García; Dong-Hoon Kwak; Jong Hun Woo; Magnus Wiktorsson; Sichao Liu; Xi Vincent Wang; Lihui Wang 001 (APMS (2), 2022)

Development of Des Application for Factory Material Flow Simulation With Simpy. - So Hyun Nam; Seung Heon Oh; Hee Chang Yoon; Young In Cho; Ki Young Cho; Dong-Hoon Kwak; Jong Hun Woo (WSC, 2022)

Distributional reinforcement learning with the independent learners for flexible job shop scheduling problem with high variability. - Seung Heon Oh; Young In Cho; Jong Hun Woo (J. Comput. Des. Eng., 2022)

Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing. - Erik Flores-García; So Hyun Nam; Yongkuk Jeong; Magnus Wiktorsson; Jong Hun Woo (APMS (3), 2023)

Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem. - Seung Heon Oh; Young In Cho; Jong Hun Woo (APMS (3), 2023)

Discrete Event Simulation of Aircraft Sortie Generation on an Aircraft Carrier. - Hee Chang Yoon; Seung Heon Oh; Jong Hun Woo; Jung-Hoon Chung; Hyuk Lee; Sun-Ah Jung (WSC, 2023)

Locating algorithm of steel stock area with asynchronous advantage actor-critic reinforcement learning. - Young In Cho; Byeongseop Kim; Hee Chang Yoon; Jong Hun Woo (J. Comput. Des. Eng., 2023)

Graph-To-Sequence Approach for Job Shop Scheduling Problem. - Seung Heon Oh; Young In Cho; Seung-Woo Han; Jong Hun Woo (APMS (4), 2024)

Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling. - So Hyun Nam; Ji-Won Baek; Young In Cho; Jong Hun Woo (WSC, 2024)

Solving quay wall allocation problems based on deep reinforcement learning. - Young-in Cho; Seung-heon Oh; Jae-Ho Choi; Jong Hun Woo (Eng. Appl. Artif. Intell., 2025)

Aggregate nesting: Transforming multi-material dynamic allocation for cost-effective manufacturing. - Sook Young Son; Ki Sun Kim; Jong Hun Woo (J. Comput. Des. Eng., 2025)