About
I'm an Assistant Professor in Sustainable Production Logistics at KTH Royal Institute of Technology in Stockholm (since 2021), and concurrently an Affiliate Faculty member at POSTECH, South Korea (2026–2027). Over the past years I've led and contributed to several Swedish national research projects, funded by Vinnova and the Eureka SMART programme, alongside EU and Korean collaborations.
My work brings digital twins, simulation, and AI into production logistics, keeping the people on the factory floor at the centre:
- Smart production logistics and digital transformation
- Digital twins and simulation for decision support
- Machine learning and computer vision for human-centred production
- Sustainable and circular manufacturing
Before KTH, I held postdoc positions at KTH and Seoul National University, and earned my PhD (2018) and BSc (2011) in Naval Architecture and Ocean Engineering at Seoul National University.
Teaching
At KTH I am course-responsible and lecturer for graduate courses in the Master's Programme in Sustainable Production Development, including Modelling, Simulation and Optimization of Sustainable Production (ML2302), Digitalisation for Sustainable Production (ML2303), and Theory of Science and Research Methodology (ML2307). I also examine Production Logistics and Supply Chains (ML2305).
I supervise doctoral and master's students working on simulation, digital twins, and AI in production logistics, and I guest-lecture on Industry 4.0/5.0, digital factories, and human-centred automation.
Awards and Honors
- Oct 2019, The Elmer L. Hann Award, Best Paper on Ship Production Delivered at the Ship Production Symposium, SNAME
- Mar 2012 - Aug 2013, STX Foundation
- Nov 2012, Encouragement Award, Korean Institute of Industrial Engineers
- Feb 2011, The Society of Naval Architects of Korea
- Mar 2007 - Feb 2011, National Scholarship For Science and Engineering, Korea Student Aid Foundation (KOSAF)
- 2026
- Chao Ye, Abbas Dashtimanesh, Yongkuk Jeong, Hauwa Yunusa (2026), A review on Digital Twin application in integrated ship design and production for decarbonisation, Ocean Engineering, 359, [Link: Paper]
- Erik Flores-García, Enrique Ruiz Zúñiga, Yongkuk Jeong, Magnus Wiktorsson (2026), AI-enabled vision systems for human-centered order picking - A design science research approach, International Journal of Production Research, 64(5), 1785-1812, [Link: Paper]
- 2025
- Chawis Boonmee, Jettapat Mangkalakeeree, Yongkuk Jeong (2025), Towards sustainable digital transformation: AI adoption barriers and enablers among SMEs in Northern Thailand, Sustainable Futures 10:101169, [Link: Paper]
- Masoud Zafarzadeh, Erik Flores-García, Yongkuk Jeong, Magnus Wiktorsson (2025), A framework and system architecture for value-oriented digital services in data-driven production logistics, International Journal of Production Research, 63(18), 6648-6668, [Link: Paper]
- Erik Flores-García, Dong Hoon Kwak, Yongkuk Jeong, Magnus Wiktorsson (2025), Machine learning in smart production logistics: a review of technological capabilities, International Journal of Production Research, 63(5), 1898-1932, [Link: Paper]
- Mayarí Pérez, Michael Lieder, Yongkuk Jeong, Farazee M. A. Asif (2025), A simulation-based decision support tool for circular manufacturing systems in the automotive industry using electric machines as a remanufacturing case study, International Journal of Production Research, 63(16), 5899-5918, [Link: Paper]
- 2024
- Jannicke Baalsrud Hauge and Yongkuk Jeong (2024), From novice to expert: advancing step-by-step simulation guideline for urban logistics with an open-source simulation tool, The International Journal of Logistics Management, [Link: Paper]
- 2023
- Yongkuk Jeong (2023), Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches, International Journal of Precision Engineering and Manufacturing-Smart Technology, 1(2) [Link: Paper]
- Erik Flores-García, Yongkuk Jeong, Sichao Liu, Magnus Wiktorsson, and Lihui Wang (2023), Enabling Industrial Internet of Things-based Digital Servitization in Smart Production Logistics, International Journal of Production Research, 61(12) [Link: Paper]
- 2021
- Jannicke Baalsrud Hauge, Seyoum Eshetu Birkie, and Yongkuk Jeong (2021), Developing a holistic decision support framework: From production logistics to sustainable freight transport in an urban environment, Transportation Research Interdisciplinary Perspectives, 12 [Link: Paper]
- Jannicke Baalsrud Hauge, Masoud Zafarzadeh, Yongkuk Jeong, Yi Li, Wajid Ali Khilji, Christian Larsen, and Magnus Wiktorsson (2021), Digital twin testbed and practical applications in production logistics with real-time location data, International Journal of Industrial Engineering and Management, 12(2) [Link: Paper]
- Huiqiang Shen, Yonggil Lee, Yong-Kuk Jeong, and Jong Hun Woo (2021), Analysis on Hull Block Erection Process Considering Variability, Journal of Ship Production and Design, 37(2) [Link: Paper]
- Jong Hun Woo, Haoyu Zhu, Dong Kun Lee, Hyun Chung, and Yongkuk Jeong (2021), Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis, Sustainability, 13(4) [Link: Paper]
- 2020
- Byeongseop Kim, Yongkuk Jeong, and Jong Gye Shin, (2020), Spatial arrangement using deep reinforcement learning to minimise rearrangement in ship block stockyards, International Journal of Production Research, 58(16), pp. 5062-5076 [Link: Paper]
- Jong Gye Shin, Youngmin Kim, Yong-Kuk Jeong, Jong Hun Woo, and Cheolho Ryu, (2020), Model-based Computational Shipyard Dynamics and its Applications, Journal of Ship Production and Design, 36(1), pp. 87-95 [Link: Paper]
- Suheon Ju, Saenal Sung, Huiqiang Shen, Yong-Kuk Jeong, and Jong-Gye Shin, (2020), System development for establishing shipyard mid-term production plans using backward process-centric simulation, International Journal of Naval Architecture and Ocean Engineering, 12, pp. 20-37 [Link: Paper]
- 2019
- Masoud Zafarzadeh, Magnus Wiktorsson, Jannicke Baalsrud Hauge, and Yongkuk Jeong (2019), Data-Driven Production Logistics - An Industrial Case Study on Potential and Challenges, Smart and Sustainable Manufacturing Systems, 3(1), pp. 53-78 [Link: Paper]
- Yong-Kuk Jeong, Youngmin Kim, Su Heon Ju, Jong-Gye Shin, Jong-Choel Kim, and Jong Hun Woo, (2019), A Spatial Layout Optimization Program considering the Survivability of a Naval Vessel in the Early Design Stage, Journal of Ship Production and Design, 35(2), pp. 126-138 [Link: Paper]
- 2018
- Jong Moo Lee, Yong-Kuk Jeong, and Jong Hun Woo, (2018), Development of an Evaluation Framework of Production Planning for the Shipbuilding Industry, International Journal of Computer Integrated Manufacturing, 31(9), pp. 831-847 [Link: Paper]
- Youngmin Kim, Jong Hun Woo, Yong-Kuk Jeong, and Jong-Gye Shin, (2018), Computational Shipyard Dynamics, Journal of Ship Production and Design, 34(4), pp. 355-367 [Link: Paper]
- Yong-Kuk Jeong, SuHeon Ju, Huiqiang Shen, Dong Kun Lee, Jong Gye Shin, and Cheolho Ryu, (2018), An analysis of shipyard spatial arrangement planning problem and a spatial arrangement algorithm considering free space and unplaced block, International Journal of Advanced Manufacturing Technology, 95, pp. 4307–4325 [LINK: Paper]
- Yong-Kuk Jeong, Philippe Lee, and Jong Hun Woo, (2018), Shipyard Block Logistics Simulation Using Process-centric Discrete Event Simulation Method, Journal of Ship Production and Design, 34(2), pp. 168-179 [LINK: Paper]
- ~ 2017
- Jong Hun Woo, Youngmin Kim, Yong-Kuk Jeong, and Jong-Gye Shin, (2017), A Research on Simulation Framework for the Advancement of Supplying Management Competency, Journal of Ship Production and Design, 33(1), pp. 60-79 [LINK: Paper]
- SeungHoon Nam, Dong Kun Lee, Yong-Kuk Jeong, Philippe Lee, and Jong-Gye Shin, (2016), Environmental Impact Assessment of Composite Small Craft Manufacturing Using the Work Breakdown Structure, International Journal of Precision Engineering and Manufacturing–Green Technology, 3(3), pp. 261-272 [LINK: Paper]
- Dong Kun Lee, Yong-Kuk Jeong, Jong Gye Shin, and Dae-Kyun Oh, (2014), Optimized Design of Electric Propulsion System for Small Crafts using the Differential Evolution Algorithm, International Journal of Precision Engineering and Manufacturing-Green Technology, 1(3), pp. 229-240 [LINK: Paper]
- Dong Kun Lee, Jong Gye Shin, Youngmin Kim, and Yong Kuk Jeong, (2014), Simulation-based Work Plan Verification in Shipyards, Journal of Ship Production and Design, 30(2), pp. 49-57 [LINK: Paper]
- 2026
- Erik Flores-García and Yongkuk Jeong (2026), Scheduling of Assembly and Logistics Systems with AI, Swedish Manufacturing Conference, Södertälje, Sweden, 20-21 May, 2026
- Yongkuk Jeong (2026), AI and Digitalisation in Production Logistics: Opportunities and Challenges, EKC 2026 (Europe-Korea Conference on Science and Technology), Toulouse, France, 20-23 July, 2026 (invited talk)
- Yongkuk Jeong (2026), What Do You Do with a Digital Twin Once It Is Built? Connecting LLM Agents in a Production Logistics Lab, DigiTwin 2026 (6th Digital Twin International Conference), Oxford, UK, 4-8 August, 2026
- 2025
- Woo-Jin Shin, Dongyoon Oh, Inguk Choi, Magnus Wiktorsson, Erik Flores-García, Yongkuk Jeong, and Hyun-Jung Kim (2025), Learning-Based Scheduling for Stochastic Job Shop Scheduling with Transportation Resources, Winter Simulation Conference (WSC 2025), Seattle, WA, USA, 7-10 December, 2025
- Yongkuk Jeong, Kiyoung Cho, and Jong Hoon Woo (2025), Exploring the Integration of Large Language Models and the Model Context Protocol for Automated Simulation Modeling: Feasibility Checks with a Matrix Production System, Winter Simulation Conference (WSC 2025), Seattle, WA, USA, 7-10 December, 2025
- Yongkuk Jeong, Christian Kober, and Marc Fette (2025), Integrating Large Language Models and Digital Twins in Manufacturing: Opportunities and Challenges for Production Logistics and Assembly Environments, APMS 2025, Kamakura, Japan, 31 Aug–4 Sep 2025
- Seoyoung Jo, Erik Flores-García, Yongkuk Jeong, Magnus Wiktorsson, and Sang Do Noh (2025), Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins, APMS 2025, Kamakura, Japan, 31 Aug–4 Sep 2025
- 2024
- Yongkuk Jeong, Donggyun Park, Jesper Gans, and Magnus Wiktorsson (2024), Advanced Time Block Analysis for Manual Assembly Tasks in Manufacturing Through Machine Learning Approaches, APMS 2024, Chemnitz/Zwickau, Germany, 8-12 September, 2024
- Erik Flores-García, Yongkuk Jeong, Enrique Ruiz Zuniga, and Magnus Wiktorsson (2024), Centering on Humans-Intersectionality in Vision Systems for Human Order Picking, APMS 2024, Chemnitz/Zwickau, Germany, 8-12 September, 2024
- Yongkuk Jeong and Jannicke Baalsrud Hauge (2024), Integrating the CoI Framework with Industry Insights for Enhanced Engineering Education in Sustainable Production Development, International Symposium on Logistics (ISL 2024), Bangkok, Thailand, 7-10 July, 2024
- Jannicke Baalsrud Hauge and Yongkuk Jeong (2024), Does the Improvement in AI Tools Necessitate a Different Approach to Engineering Education?, Swedish Production Symposium 2024, Trollhättan, Sweden, 23-26 April, 2024
- Yongkuk Jeong, Erik Flores-García, and Magnus Wiktorsson (2024), Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization, Swedish Production Symposium 2024, Trollhättan, Sweden, 23-26 April, 2024
- Erik Flores-García, Yongkuk Jeong, Enrique Ruiz Zúñiga, Vasiliki Vasdeki, Ilias Kulkarni, Wajid Ali Khilji, and Magnus Wiktorsson (2024), Pictures of you – How machine learning and vision systems can help workers in automotive order picking, Forsknings- & Tillämpningskonferensen 2024, Växjö, Sweden, 8-9 October, 2024
- 2023
- Yongkuk Jeong, Erik Flores-García, Simon Piontek, and Magnus Wiktorsson (2023), Implementing transmission of data for digital twins in human-centered cyber-physical systems, CIRP CMS 2023, Cape Town, South Africa, 24-26 October, 2023
- Erik Flores-García, So Hyun Nam, Yongkuk Jeong, Magnus Wiktorsson, and Jong Hun Woo (2023), Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing, APMS 2023, Trondheim, Norway, 17-21 September, 2023
- Yongkuk Jeong, Magnus Wiktorsson, Donggyun Park, Jesper Gans, and Linda Svensson (2023), Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0, APMS 2023, Trondheim, Norway, 17-21 September, 2023
- Yongkuk Jeong and Jannicke Baalsrud Hauge (2023), Digitalization in production logistics towards Industry 5.0: Anaylsis of industrial project cases, ISL 2023, Enschede, Netherlands, 9-12 July, 2023
- Yongkuk Jeong, Tarun Kumar Agrawal, and Kiwook Jung (2023), Digital servitization in battery reuse and recycling business based on blockchain platform technologies, EurOMA 2023, Leuven, Belgium, 3-5 July, 2023
- Masoud Zafarzadeh, Yongkuk Jeong, Magnus Wiktorsson (2023), Data flow structure for multimodal human-robot collaboration in material handling, IEEE ICE/ITMC, Edinburgh, Scotland, 19-22 June, 2023
- 2022
- Amita Singh, Erik Flores Garcia, Yongkuk Jeong, and Magnus Wiktorsson (2022), A Rubric for Implementing Explainable AI in Production Logistics, APMS 2022, Gyeongju, South Korea, 25-29 September, 2022
- Yongkuk Jeong, Erik Flores-García, Dong Hoon Kwak, Jong Hun Woo, Magnus Wiktorsson, Sichao Liu, Xi Vincent Wang, and Lihui Wang (2022), Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment, APMS 2022, Gyeongju, South Korea, 25-29 September, 2022
- Erik Flores-García, Yongkuk Jeong, Magnus Wiktorsson, Dong Hoon Kwak, Jong Hun Woo, Thomas Schmitt, and Lars Hanson (2022), Characterizing Digital Dashboards for Smart Production Logistics, APMS 2022, Gyeongju, South Korea, 25-29 September, 2022
- Jannicke Baalsrud Hauge and Yongkuk Jeong (2022), A step-by-step guideline to overcome challenges modelling urban logistics scenarios using SUMO, ISL 2022, Cork, Ireland, 10-13 July, 2022
- Yongkuk Jeong and Erik Flores-García (2022), Cyber-Physical system as a service for the manufacturing industry - collaboration work between Sweden and South Korea, The Swedish Manufacturing R&D Clusters’ Annual Conference, Katrineholm, Sweden, 18-19 May, 2022
- Yongkuk Jeong, Gianpiero Canessa, Erik Flores-García, Tarun Kumar Agrawal, and Magnus Wiktorsson (2022), An optimization model with stochastic variables for flexible production logistics planning, SPS 2022, Skövde, Sweden, 26-29 April, 2022
- Erik Flores-García, Maheshwaran Gopalakrishnan, Yongkuk Jeong and Magnus Wiktorsson (2022), IIoT-enabled Digital Services for Maintenance Planning in Smart Production Logistics using Maintenance Opportunity Window, SPS 2022, Skövde, Sweden, 26-29 April, 2022
- 2021
- Erik Flores-García, Yongkuk Jeong, Magnus Wiktorsson, Sichao Liu, Lihui Wang, and GooYoung Kim (2021), Digital twin-based services for smart production logistics, WSC 2021, Phoenix, AZ, USA, 13-15 December, 2021
- Yongkuk Jeong, Tarun Kumar Agrawal, Erik Flores-García, and Magnus Wiktorsson (2021), A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment, CIRP CMS 2021, Online, 22-24 September, 2021
- Erik Flores-García, Yongkuk Jeong, and Magnus Wiktorsson (2021), Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics, APMS 2021, Nates, France (Online), 5-9 September, 2021
- Amita Singh, Yongkuk Jeong, Jannicke Baalsrud Hauge, and Seyoum Eshetu Birkie (2021), Urban production logistics planning considering environmental sustainability perspectives: Turku city case, ISL 2021, Online, 12-13 July, 2021
- Erik Flores-García, Yongkuk Jeong, and Magnus Wiktorsson (2021), Exploring the challenges for generating, handling, and using real-time location information in Smart Production Logistics, EurOMA 2021, Online, 5-7 July, 2021
- 2020
- Yongkuk Jeong, Erik Flores-García, and Magnus Wiktorsson (2020), A Design of Digital Twins for Supporting Decision-making in Production Logistics, WSC 2020, Orlando, Florida, USA (Online), 14-18 December, 2020 [LINK: Paper] [LINK: Presentation]
- Yongkuk Jeong (2020), Digitalization and Digital Twin Applications in Production Logistics for Sustainable Production Development, PRESM 2020, Seoul, South Korea (Online), 15-18 November, 2020
- Yongkuk Jeong, Magnus Wiktorsson, and Peter Almström (2020), Towards automatic validation of operation times in manual processes: Two industrial cases, PLAN Conference 2020, Södertälje, Sweden (Online), 21 October, 2020
- Erik Flores-García, Yongkuk Jeong, Sichao Liu, Goo-Young Kim, and Magnus Wiktorsson (2020), Digital Twin-based Services for Future Production Logistics Settings, PLAN Conference 2020, Södertälje, Sweden (Online), 21 October, 2020
- Ravi Kalaiarasan, Magnus Wiktorsson, Jan Olhager, and Yongkuk Jeong (2020), Production Logistics Visibility – definitions, status and research agenda, SPS 2020, Jönköping, Sweden (Online), 7-8 October, 2020 [LINK: Paper]
- Yongkuk Jeong, Amita Singh, Masoud Zafarzadeh, Magnus Wiktorsson, and Jannicke Baalsrud Hauge (2020), Data-driven manufacturing simulation: Towards a CPS-based approach, SPS 2020, Jönköping, Sweden (Online), 7-8 October, 2020 [LINK: Paper]
- Erik Flores-García and Yongkuk Jeong (2020), Cyber Physical Assembly and Logistics, The Swedish Manufacturing R&D Clusters’ Annual Conference, Katrineholm, Sweden (Online), 30 September - 1 October, 2020
- Jannicke Baalsrud Hauge, Masoud Zafarzadeh, Yongkuk Jeong, Yi Li, Wajid Ali Khilji, and Magnus Wiktorsson (2020), Digital and Physical Testbed for Production Logistics Operations, APMS 2020, Novi Sad, Serbia (Online), 30 August - 3 September, 2020 [LINK: Paper]
- Jo Wessel Strandhagen, Yongkuk Jeong, Jong Hun Woo, Marco Semini, Magnus Wiktorsson, Jan Ola Strandhagen, and Erlend Alfnes (2020), Factors Affecting Shipyard Operations and Logistics: A Framework and Comparison of Shipbuilding Approaches, APMS 2020, Novi Sad, Serbia (Online), 30 August - 3 September, 2020 [LINK: Paper]
- Jannicke Baalsrud Hauge, Masoud Zafarzadeh, Yongkuk Jeong, Yi Li, Wajid Ali Khilji, and Magnus Wiktorsson (2020), Employing digital twins within production logistics, 2020 IEEE ICE/ITMC, Cardiff, United Kingdom, 15 - 17 June, 2020 [LINK: Paper]
- 2019
- Jong Gye Shin, Youngmin Kim, Jong Hun Woo, Seunghyeok Son, Huiqiang Shen, Byeong-seop Kim, Cheolho Ryu, and Yong-Kuk Jeong (2019), Smart Shipyard Platform with Computational Shipyard Dynamics and its Application to Forming Shop, SNAME Maritime Convention 2019, Tacoma, WA, 30 October - 1 November, 2019
- Yong-Kuk Jeong and Magnus Wiktorsson (2019), Process-Centric versus Resource-Centric Modelling: Initial findings and future research directions, i3CDE 2019, Penang, Malaysia, 8-10 July, 2019
- Yong-Kuk Jeong, Huiqiang Shen, Youngmin Kim, Young-Ki Min, Jong Gye Shin, Philippe Lee, Jong Hun Woo, Yong Gil Lee (2019), Discrete Event Simulation for Strategic Shipyard Planning, COMPIT 2019, Tullamore, Ireland, 25-27 March, 2019
- 2018
- Huiqiang Shen, Yong-Kuk Jeong, Jong Gye Shin, Philippe Lee, Jong Hun Woo, Yong Gil Lee, Sang Hun Kim, Ju Hyeon Jeong, (2018), Key Performance Indicators and Analysis Method for Ship Block Logistics Flow in Shipyards, WSC 2018, Gothenburg, Sweden, 9-12 December, 2018
- Jong Gye Shin, Youngmin Kim, Yong-Kuk Jeong, Jong Hun Woo, Cheolho Ryu, (2018), Model-based Computational Dynamics and its Applications, SNAME Maritime Convention 2018, Providence, RI, 24-27 October, 2018
- Beongseop Kim, Yong-Kuk Jeong, Seunghyeok Son, Su Heon Ju, Huiqiang Shen, Jong Gye Shin, (2018), A Shipyard Green Logistics Concept and a Strategic Simulation to Reduce the Transportation Distance of Assembly Blocks in Shipyard, PRESM 2018, Sapporo, Japan, 3-7 July, 2018
- Jong Hun Woo, Jaeho Choi, Ji Hye Kim, Yong-Kuk Jeong, Philippe Lee, and Jong Ho Nam, (2018), Machine Learning in Ship Production, COMPIT 2018, Pavone, Italy, 14-16 May, 2018
- Yong-Kuk Jeong, Jong Hun Woo, Philippe Lee, Youngmin Kim, Young-Ki Min, Jong Gye Shin, Yong Gil Lee, and Cheolho Ryu, (2018), Shipyard DES Simulation Framework and its Applications, COMPIT 2018, Pavone, Italy, 14-16 May, 2018
- ~ 2017
- Yong-Kuk Jeong, Hui-Qiang Shen, SeungHoon Nam, Youngmin Kim, Jong-Gye Shin, Philippe Lee, Jae Ho Choi, and Jong Hun Woo, (2017), Verification and Validation of Shipyard Logistics Simulation System and Its Use Case Identification, WSC 2017, Las Vegas, NV, 3-6 December, 2017
- Hui-Qiang Shen, Yong-Kuk Jeong, Seung-Hoon Nam, Youngmin Kim, Jong-Gye Shin, Dong Kun Lee, and Daekyun Oh, (2017), A Hierarchical Simulation Model for Workload Analysis of Ship Block Erection Process, WSC 2017, Las Vegas, NV, 3-6 December, 2017
- Su Heon Ju, Yong-Kuk Jeong, Seunghyeok Son, Young Gi Min, Jong-Gye, Shin, JongChul Kim, Jong Hun Woo, and Philippe Lee, (2017), A layout design framework considering relations between internal space and external shape of naval vessels at the conceptual design, ISOPE 2017, San Francisco, CA, June 25−30, 2017
- Yong-Kuk Jeong, Seung Hoon Nam, Youngmin Kim, Jong-Gye Shin, Young-Ki Min, Jong Hun Woo, Jae-Ho Choi, Sang-Hoon Kim, and Dae-Kyun Oh, (2017), A modeling and simulation method for multi-layered supply chain management in shipbuilding industries, ACM SIGSIM PADS 2017, NTU Singapore, 24-26 May, 2017
- Byeongseop Kim, Yong-Kuk Jeong, Seunghyeok Son, Philippe Lee, Yonggil Lee, and Jong Hun Woo, (2017), The Extended Process-Centric Modeling Method for Logistics Simulation in Shipyards Considering Stock Areas, COMPIT 2017, Cardiff UK, 15-17 May, 2017
- Yong-Kuk Jeong, Byeong-Seop Kim, Jong-Gye Shin, Philippe Lee, Jong Hun Woo, and Jong Moo Lee, (2016), A Ship Block Logistics Support System based on the Shipyard Simulation Framework, WSC 2016, Arlington VA, 11-14 December, 2016
- Seung-hyoek Son, Youngmin Kim, Inhyuck Hwang, Hui Giang Shen, Yong-Kuk Jeong, Cheolho Ryu, Jong-Gye Shin, (2015), Design and Development of Manufacturing Information Calculation System for Formation of Curved Hull Plates, MOTSP 2015, Brela Croatia, 10-12 June, 2015
- Yong-Kuk Jeong, Philippe Lee, SeungHoon Nam, Dong Kun Lee, Jong-Gye Shin, (2015), Development of the Methodology for Environmental Impact of Composite Boats Manufacturing Process, CIRP LCE 2015, Sydney Australia, 7-9 April, 2015 [LINK: Application]
- Jong-Gye Shin, Dong Hyun Ahn, Seung Hoon Nam, and Yong-Kuk Jeong, (2014), An Introduction to Small boat PLM Technology, ICOR 2014, Fiji, 13-15 October, 2014
- Jong-Gye Shin, Seung Hoon Nam, and Yong-Kuk Jeong, (2014), Generic Work Breakdown Structure for Sailing Yacht Lifecycle Management, ICOR 2014, Fiji, 13-15 October, 2014
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A human-centric digital-twin architecture for production logistics, designed with privacy, ethics, and AI risk in mind (ALCHEMIST)
KEIT Industrial Technology Alchemist Programme (South Korea) · international joint-research PI · 2025–2029 · ongoing
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Building a digitalisation roadmap for production logistics with AstraZeneca
Digital Futures (ISPP Mobility), with AstraZeneca, Södertälje · lead · 2026–2027 · ongoing
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Turning operator movement into time data: AI computer vision and LLMs that generate MTM (TIMEBLY 2)
Vinnova (Advanced Digitalisation) · KTH lead · 2025–2028 · ongoing
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Computer vision to analyse operators in manufacturing warehouses for scheduling and optimisation (Dynamic SALSA)
Vinnova (EUREKA Cluster SMART) · key researcher · 2023–2026 · ongoing
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Designing a digital-twin system for ship design and production with model-based systems engineering (MBSE) (SHIFT-DT)
Digital Futures (Research Pairs) · Principal Investigator · 2024–2025 · completed