Publication

2024

Guo, D., Liu, S., Ling, S., Li, M., Jiang, Y., Li, M., & Huang, G. Q. (2024). The marriage of operations research and reinforcement learning: Integration of NEH into Q-learning algorithm for the permutation flowshop scheduling problem. Expert Systems with Applications, 255, 124779.
Guo, D., & Mantravadi, S. (2024). The role of digital twins in lean supply chain management: review and research directions. International Journal of Production Research, 1-22.
Ling, S., Guo, D., Li, M., Rong, Y., & Huang, G. Q. (2024). Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT. Journal of Intelligent Manufacturing, 35(2), 539-554.
Yi, S., Liu, S., Yang, Y., Yan, S., Guo, D., Wang, X. V., & Wang, L. (2024). Safety-aware human-centric collaborative assembly. Advanced Engineering Informatics, 60, 102371.
Guo, D. (2024). Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly. Robotics and Computer-Integrated Manufacturing, 85, 102620. (Best Extended Paper Award of the 1^st place at the 32^nd FAIM International Conference, Portugal, 2023)

Full Publication: Google Scholar

Guo, D., Zhong, R. Y., Rong, Y., & Huang, G. Q. (2023). Synchronization of shop-floor logistics and manufacturing under IIoT and digital twin-enabled graduation intelligent manufacturing system. IEEE Transactions on Cybernetics, 53(3), 2005-2016.
Li, M., Guo, D*., Li, M., Qu, T., & Huang, G. Q. (2023). Operation twins: production-intralogistics synchronisation in Industry 4.0. International Journal of Production Research, 61(15), 5193-5211. (ESI Highly Cited Paper)
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