This work is licensed under the Creative Commons Attribution 4.0 International License.
Sun, W., Wang, P., Xu, N., Wang, G., & Zhang, Y. (2021). Dynamic digital twin and distributed incentives for resource allocation in aerial-assisted internet of vehicles. IEEE Internet of Things Journal, PP(99), 1-1.Search in Google Scholar
Yan, Q., Wang, H., & Wu, F. (2022). Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer q-learning algorithm. Computers & operations research(Aug.), 144.Search in Google Scholar
Zhang, K., Cao, J., Maharjan, S., & Zhang, Y. (2021). Digital twin empowered content caching in social-aware vehicular edge networks. IEEE Transactions on Computational Social Systems, PP(99), 1-13.Search in Google Scholar
Lopes, M. R., Costigliola, A., Pinto, R., Vieira, S., & Sousa, J. M. C. Pharmaceutical quality control laboratory digital twin – a novel governance model for resource planning and scheduling.Search in Google Scholar
Zhou, Z., Jia, Z., Liao, H., Lu, W., & Tariq, M. (2021). Secure and latency-aware digital twin assisted resource scheduling for 5g edge computing-empowered distribution grids. IEEE Transactions on Industrial Informatics, PP(99), 1-1.Search in Google Scholar
Leng, J., Yan, D., Liu, Q., Zhang, H., Zhao, G., & Wei, L., et al. (2022). Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system (10.1080/0951192x.2019.1667032, 2019). International Journal of Computer Integrated Manufacturing (4/6), 35.Search in Google Scholar
Pan, Y. H., Wu, N. Q., Qu, T., Li, P. Z., & Guo, H. F. (2020). Digital-twin-driven production logistics synchronization system for vehicle routing problems with pick-up and delivery in industrial park. International Journal of Computer Integrated Manufacturing(12), 1-15.Search in Google Scholar
Wang, Y., & Wu, Z. (2020). Model construction of planning and scheduling system based on digital twin. The International Journal of Advanced Manufacturing Technology, 109(4).Search in Google Scholar
Huang, Z., Li, D., Cai, J., & Lu, H. (2023). Collective reinforcement learning based resource allocation for digital twin service in 6g networks. Journal of network and computer applications.Search in Google Scholar
Fang, Y., Peng, C., Lou, P., Zhou, Z., & Yan, J. (2019). Digital-twin based job shop scheduling towards smart manufacturing. IEEE Transactions on Industrial Informatics, PP(99), 1-1.Search in Google Scholar
Zhang, F., Bai, J., Yang, D., & Wang, Q. Digital twin data-driven proactive job-shop scheduling strategy towards asymmetric manufacturing execution decision. Scientific Reports.Search in Google Scholar
Jiang, Y., Li, M., Li, M., Liu, X., Zhong, R. Y., & Pan, W., et al. (2022). Digital twin-enabled real-time synchronization for planning, scheduling, and execution in precast on-site assembly. Automation in construction.Search in Google Scholar
Gao, Y., Chang, D., Chen, C. H., & Xu, Z. (2022). Design of digital twin applications in automated storage yard scheduling. Advanced Engineering Informatics, 51, 101477-.Search in Google Scholar
Xu, Y., Zhu, J., & Li, Q. (2022). Scheduling optimization for twin asc in an automated container terminal based on graph theory. Advances in multimedia(Pt.1), 2022.Search in Google Scholar