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Publications by Yongkuk Jeong

Peer reviewed

Articles

[1]
Flores-García, E., Jeong, Y., Liu, S., Wiktorsson, M. & Wang, L. (2022). Enabling industrial internet of things-based digital servitization in smart production logistics. International Journal of Production Research, 1-26.
[2]
Shen, H., Lee, Y., Jeong, Y.-K. & Woo, J. H. (2021). Analysis on Hull Block Erection Process Considering Variability. Journal of Ship Production and Design, 37(02), 67-77.
[3]
Woo, J. H., Zhu, H., Lee, D. K., Chung, H. & Jeong, Y. (2021). Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis. Sustainability, 13(4).
[4]
Baalsrud Hauge, J., Birkie, S. E. & Jeong, Y. (2021). Developing a holistic decision support framework: From production logistics to sustainable freight transport in an urban environment. Transportation Research Interdisciplinary Perspectives, 12.
[5]
Baalsrud Hauge, J., Zafarzadeh, M., Jeong, Y., Li, Y., Ali Khilji, W., Larsen, C. & Wiktorsson, M. (2021). Digital Twin Testbed and Practical Applications in Production Logistics with Real-Time Location Data. International Journal of Industrial Engineering and Management, 12(2), 129-140.
[6]
Shin, J. G., Kim, Y., Jeong, Y.-K., Woo, J. H. & Ryu, C. (2020). Model-Based Computational Shipyard Dynamics and Its Applications. Journal of Ship Production and Design, 36(1), 87-95.
[7]
Kim, B., Jeong, Y. & Shin, J. G. (2020). Spatial arrangement using deep reinforcement learning to minimise rearrangement in ship block stockyards. International Journal of Production Research, 1-15.
[8]
Ju, S., Sung, S., Shen, H., Jeong, Y.-K. & Shin, J. G. (2020). System development for establishing shipyard mid-term production plans using backward process-centric simulation. International Journal of Naval Architecture and Ocean Engineering, 12, 20-37.
[9]
Jeong, Y.-K., Kim, Y., Ju, S. H., Shin, J. G., Kim, J. C. & Woo, J. H. (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), 126-138.
[10]
Zafarzadeh, M., Wiktorsson, M., Baalsrud Hauge, J. & Jeong, Y. (2019). Data-Driven Production Logistics - An Industrial Case Study on Potential and Challenges. Smart and Sustainable Manufacturing Systems, 3(1), 53-78.
[11]
Jeong, Y., Ju, S. H., Shen, H., Lee, D. K., Shin, J. G. & Ryu, C. (2018). An analysis of shipyard spatial arrangement planning problems and a spatial arrangement algorithm considering free space and unplaced block. The International Journal of Advanced Manufacturing Technology, 95(9-12), 4307-4325.
[12]
Kim, Y., Woo, J. H., Jeong, Y. & Shin, J. G. (2018). Computational Shipyard Dynamics. Journal of Ship Production and Design, 34(4), 355-367.
[13]
Lee, J. M., Jeong, Y.-K. & Woo, J. H. (2018). Development of an evaluation framework of production planning for the shipbuilding industry. International Journal of Computer Integrated Manufacturing, 31(9), 831-847.
[14]
Jeong, Y.-K., Lee, P. & Woo, J. H. (2018). Shipyard Block Logistics Simulation Using Process-centric Discrete Event Simulation Method. Journal of Ship Production and Design, 34(2), 168-179.
[15]
Woo, J. H., Kim, Y., Jeong, Y.-K. & Shin, J. G. (2017). A Research on simulation framework for the advancement of supplying management competency. Journal of Ship Production and Design, 33(1), 60-79.
[16]
Nam, S., Lee, D. K., Jeong, Y., Lee, P. & Shin, J. G. (2016). Environmental impact assessment of composite small craft manufacturing using the generic work breakdown structure. International Journal of Precision Engineering and Manufacturing-Green Technology, 3(3), 261-272.
[17]
Lee, D. K., Jeong, Y.-K., Shin, J. G. & Oh, D.-K. (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), 229-240.
[18]
Lee, D. K., Shin, J. G., Kim, Y. & Jeong, Y. (2014). Simulation-based work plan verification in shipyards. Journal of Ship Production and Design, 30(2), 49-57.

Conference papers

[19]
Baalsrud Hauge, J., Jeong, Y. (2024). Does the Improvement in AI Tools Necessitate a Different Approach to Engineering Education?. In Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014. (pp. 709-718). IOS Press.
[20]
Jeong, Y., Flores-García, E., Bae, J., Wiktorsson, M. (2024). Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization. In Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014. (pp. 601-612). IOS Press.
[21]
Jeong, Y., Flores-García, E., Wiktorsson, M. (2024). Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization. In Proceedings of the 11th Swedish Production Symposium. (pp. 601-612).
[22]
Flores-García, E., Nam, S. H., Jeong, Y., Wiktorsson, M., Woo, J. H. (2023). Beyond the Lab : Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing. In Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. (pp. 462-476). Springer Nature.
[23]
Jeong, Y., Wiktorsson, M., Park, D., Gans, J., Svensson, L. (2023). Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task : A Step Towards Industry 5.0. In Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures - IFIP WG 5.7 International Conference, APMS 2023, Proceedings. (pp. 619-631). Springer Nature.
[24]
Zafarzadeh, M., Jeong, Y., Wiktorsson, M. (2023). Data flow structure for multimodal human-robot collaboration in material handling. In 29th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Shaping the future - Data-driven Engineering, Innovation and Entrepreneurship, Edinburgh, 2023..
[25]
Jeong, Y., Flores-García, E., Piontek, S., Wiktorsson, M. (2023). Implementing transmission of data for digital twins in human-centered cyber-physical systems. In Proceedings 56th CIRP International Conference on Manufacturing Systems 2023. (pp. 992-997). Elsevier BV.
[26]
Singh, A., Flores-García, E., Jeong, Y., Wiktorsson, M. (2022). A Rubric for Implementing Explainable AI in Production Logistics. In Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. (pp. 190-197). Seoul, Korea: Springer Nature.
[27]
Jeong, Y., Canessa, G., Flores-García, E., Agrawal, T. K., Wiktorsson, M. (2022). An Optimization Model with Stochastic Variables for Flexible Production Logistics Planning. In Advances in Transdisciplinary Engineering. (pp. 435-446). IOS Press.
[28]
Flores-García, E., Jeong, Y., Wiktorsson, M., Kwak, D. H., Woo, J. H., Schmitt, T., Hanson, L. (2022). Characterizing Digital Dashboards for Smart Production Logistics. In Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. (pp. 521-528). Seou, Korea.
[29]
Jeong, Y., Flores-García, E., Kwak, D. H., Woo, J. H., Wiktorsson, M., Liu, S., Wang, X. V., Wang, L. (2022). Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment. In Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. (pp. 556-564). Springer Nature.
[30]
Flores García, E., Gopalakrishnan, M., Jeong, Y., Wiktorsson, M. (2022). IIoT-Enabled Digital Services for Maintenance Planning in Smart Production Logistics Using Maintenance Opportunity Window. In Swedish Production Symposium (SPS) 2022. IOS Press.
[31]
Jeong, Y., Agrawal, T. K., Flores-García, E., Wiktorsson, M. (2021). A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment. In Towards Digitalized Manufacturing 4.0. (pp. 1807-1812). Elsevier BV.
[32]
Flores-García, E., Jeong, Y., Wiktorsson, M. (2021). Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics. In Proceedings, Part V, Advances in ProductionManagement Systems Artificial Intelligence for Sustainable and Resilient Production Systems IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021. Springer Nature.
[33]
Flores-García, E., Jeong, Y., Liu, S., Kim, G., Wiktorsson, M., Wang, L. (2021). Digital Twin-Based Services for Smart Production Logistics. Presented at 2021 Winter Simulation Conference (WSC); WSC 2021 Phoenix; 12 December 2021 - 15 December 2021.. Institute of Electrical and Electronics Engineers (IEEE).
[34]
Flores-García, E., Jeong, Y., Wiktorsson, M. (2021). Exploring the challenges for generating, handling, and using real-time location information in Smart Production Logistics. Presented at 28th EurOMA Conference - Managing the “new normal”: The future of Operations and Supply Chain Management in unprecedented times.
[35]
Singh, A., Jeong, Y., Baalsrud Hauge, J., Birkie, S. E. (2021). Urban production logistics planning considering environmental sustainability perspectives: Turku city case. Presented at International Symposium on Logistics (ISL21).
[36]
Jeong, Y., Flores-García, E., Wiktorsson, M. (2020). A design of digital twins for supporting decision-making in production logistics. In 2020 winter simulation conference (WSC). (pp. 2683-2694). Institute of Electrical and Electronics Engineers (IEEE).
[37]
Jeong, Y., Singh, A., Zafarzadeh, M., Wiktorsson, M., Baalsrud Hauge, J. (2020). Data-driven manufacturing simulation: Towards a CPS-based approach. In Proceedings of the Swedish Production Symposium. IOS Press.
[38]
Baalsrud Hauge, J., Zafarzadeh, M., Jeong, Y., Li, Y., Ali Khilji, W., Wiktorsson, M. (2020). Digital and Physical Testbed for Production Logistics Operations. Presented at Advances in Production Management Systems. Springer Nature.
[39]
Strandhagen, J. W., Jeong, Y., Woo, J. H., Semini, M., Wiktorsson, M., Strandhagen, J. O., Alfnes, E. (2020). Factors Affecting Shipyard Operations and Logistics : A Framework and Comparison of Shipbuilding Approaches. In Advances in production management systems: Towards smart and digital manufacturing, pt ii. (pp. 529-537). Springer Nature.
[40]
Wessel Strandhagen, J., Jeong, Y., Woo, J. H., Semini, M., Wiktorsson, M., Strandhagen, J. O., Alfnes, E. (2020). Factors Affecting Shipyard Operations and Logistics: A Framework and Comparison of Shipbuilding Approaches. In IFIP Advances in Information and Communication Technology book series (IFIPAICT)..
[41]
Kalaiarasan, R., Olhager, J., Wiktorsson, M., Jeong, Y. (2020). Production Logistics Visibility - Perspectives, Principles and Prospects. In Proceedings of the Swedish Production Symposium: Advances in Transdisciplinary Engineering. (pp. 501-510). Amsterdam, Netherlands: IOS Press.
[42]
Jeong, Y.-K., Shen, H., Kim, Y., Min, Y.-K., Shin, J. G., Lee, P. (2019). Discrete Event Simulation for Strategic Shipyard Planning. Presented at COMPIT 2019.
[43]
[44]
Shin, J. G., Kim, Y., Woo, J. H., Son, S., Shen, H., Kim, B. -., Ryu, C., Jeong, Y. (2019). Smart shipyard platform with computational shipyard dynamics and its application to a forming Shop. In SNAME Maritime Convention 2019, SMC 2019. Society of Naval Architects and Marine Engineers.

Non-peer reviewed

Conference papers

[45]
Jeong, Y. (2020). Digitalization and Digital Twin Applications in Production Logistics for Sustainable Production Development. Presented at International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM 2020).
[46]
Jeong, Y., Wiktorsson, M., Almström, P. (2020). Towards automatic validation of operation times in manual processes: Two industrial cases. Presented at PLAN Conference 2020.
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2024-05-26 01:34:11