KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

A Digital Twin Architecture for Automotive Logistics- An Industry Case Study

  • Gyusun Hwang (School of Industrial Engineering, University of Ulsan) ;
  • Jun-hee Han (Department of Industrial Engineering, Pusan National University) ;
  • Haejoong Kim (Department of Industrial and Management Engineering, Kyonggi University)
  • Received : 2024.03.30
  • Accepted : 2024.08.12
  • Published : 2024.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

The current automotive industry is transitioning from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs), adopting a mixed assembly production approach to respond to fluctuating demand. While mixed assembly production offers the advantages of lower investment costs and flexibility in responding to changing demands, the supply of EV components requires more extensive provisioning compared to ICE vehicle components, potentially leading to unexpected issues such as congestion of transport vehicles. This study proposes a digital twin system architecture that uses Discrete Event Simulation (DES) and Business Intelligence (BI) tools to specifically address logistics challenges. The proposed architecture facilitates real-time, data-driven decision making across three layers; Data source, Simulation, and BI. It was implemented in factories engaged in the mixed assembly production of ICE and EV vehicles. The simulation challenges involve a tier 1 vendor supplying parts to Korean automobile manufacturers that produce both ICE and EV parts. A total of 240 scenarios were created to run the simulations. The deployment of the proposed architecture demonstrates its capability to quickly respond to diverse experimental situations and promptly identify potential issues.

Keywords

Acknowledgement

The author is grateful to Jihyeon Park(CJ logistics, Republic of Korea) for designing the experiment and assisting with data visualization.

References

  1. A. P. Tenggara, R. Budiarto, A. Y. Prawira, A. B. Prakoso and A. Ibrahim, "Study on Electrical Vehicle Policy in South Korea as a Lesson Learning for Indonesia," in Proc. of IOP Conference Series: Earth and Environmental Science, 6th International Energy Conference (Astechnova 2021), vol.927, Yogyakarta, Indonesia (Virtual), Aug. 24-25, 2021.
  2. I. Onaji, D. Tiwari, P. Soulatiantork, B. Song and A. Tiwari, "Digital twin in manufacturing: conceptual framework and case studies," Int. J. Comput. Integr. Manuf., vol.35, no.8, pp.831-858, 2022.
  3. F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang and F. Sui, "Digital twin-driven product design, manufacturing and service with big data," Int. J. Adv. Manuf. Technol., vol.94, pp.3563-3576, 2018.
  4. S. Keckl, A. Abou-Haydar and E. Westkamper, "Complexity-focused Planning and Operating of Mixed-model Assembly Lines in Automotive Manufacturing," Procedia CIRP, vol.57, pp.333-338, 2016.
  5. Z. Cao and H. Li, "Multi-objective Optimization of Material Collaborative Delivery for Mixed Model Automotive Assembly Process," in Proc. of Sixth International Conference on Business Intelligence and Financial Engineering, BIFE, Hangzhou, China, Nov. 14-16, pp.405-409, 2013.
  6. M. Lafou, L. Mathieu, S. Pois and M. Alochet, "Manufacturing System Configuration: Flexibility Analysis For automotive Mixed-Model Assembly Lines," IFAC-PapersOnLine, vol.48, no.3, pp.94-99, 2015.
  7. H. Liu, K. Xu and Z. Pan, "Modeling and application of mixed model assembly system complexity introduced by auto-body personalization," Int. J. Adv. Manuf. Technol., vol.93 no.1-4, pp.43-54, Oct. 2017.
  8. M. Jin, Y. Luo and S. D. Eksioglu, "Integration of production sequencing and outbound logistics in the automotive industry," Int. J. Prod. Econ., vol.113, no.2, pp.766-774, Jun. 2008.
  9. J. Golz, R. Gujjula, H. O. Gunther, S. Rinderer and M. Ziegler, "Part feeding at high-variant mixed-model assembly lines," Flex. Serv. Manuf. J., vol.24, pp.119-141, 2012.
  10. Q. Yin, X. Luo and J. Hohenstein, "Design of Mixed-Model Assembly Lines Integrating New Energy Vehicles," Machines, vol.9, no.12, Dec. 2021.
  11. C. Cao, and H. Sun, "Virtual Level Rescheduling for Automotive Mixed-model Assembly Lines with Beam Search Algorithms," in Proc. of the 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), Tokyo, Japan, pp.225-229, Apr. 12-15, 2019.
  12. B. Zhou, and Z. Zhu, "A dynamic scheduling mechanism of part feeding for mixed-model assembly lines based on the modified neural network and knowledge base," Soft Computing, vol.25, no.1, pp.291-319, Jan. 2021.
  13. T. Pereira, M. Xavier, F. A. Ferreira and M. Oliveira, "Improvement in Planning and Resource Management for an Automotive Company's Parts Feeding System," in Proc. of 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey, pp.334-345, Mar. 7-10, 2022.
  14. Z. Cao, and H. Zhao, "Research of the Material Collaborative Distribution and Management for Mixed Model Automotive Assembly Process Based on Just-in-Time," in Proc. of the 2011 International Conference on Information Management, Innovation Management and Industrial Engineering, pp.165-168, Shenzhen, China, Nov. 26-27, 2011.
  15. M. Grieves, "Digital twin: Manufacturing excellence through virtual factory replication," Digital Twin White Paper, pp.1-7, Melbourne, FL, USA, 2014.
  16. D. Guo, R. Y. Zhong, P. Lin, Z. Lyu, Y. Rong, and G. Q. Huang, "Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands," Robotics and Computer-Integrated Manufacturing, vol.63, Jun. 2020.
  17. B. He, and K. J. Bai, "Digital twin-based sustainable intelligent manufacturing: a review," Adv. Manuf., vol.9, no.1, pp.1-21, 2021.
  18. J. W. Strandhagen, E. Alfnes, J. O. Strandhagen, and L. R. Vallandingham, "The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study," Adv. Manuf., vol.5, no.4, pp.344-358, Dec. 2017.
  19. Y. H. Pan, T. Qu, N. Q. Wu, M. Khalgui, and G.Q. Huang, "Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture," J. Manuf. Syst. vol.58, pp.246-260. Jan. 2021.