Abstract
The purpose of this paper is to analyse and understand the effects on leveraging Digital Twin technology to revolutionize business operations, particularly in industries like manufacturing, logistics, healthcare, or construction. A Digital Twin is a virtual replica of a physical entity, process, or system. By using real-time data and simulations, businesses can monitor, optimize, and predict the performance of physical assets, operations, and entire ecosystems. This paper aims to research and understand the core concept of Digital Twin, including its components (sensors, data models, IoT integration, etc.), and how it can be applied to various business sectors and also process of implementing this Digital Twin solution to monitor and optimize business processes, such as inventory management, supply chain monitoring, production lines and customer behavior analysis.
REFERENCES
Books
Grieves, M., & Vickers, J. (2017). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. McGraw-Hill Education.
Xu, X., & Wang, L. (2020). Digital Twin Technologies and Smart Cities. Springer.
Zhao, X., & Lee, W. (2021). The Digital Twin Paradigm for Smart Cities: Applications, Challenges, and Future Directions. Wiley.
Journal Articles
Tao, F., Zhang, H., & Nee, A. Y. (2018). "Digital Twin in Industry: State-of-the-Art." IEEE Access, 6, 58,294-58,303.
https://doi.org/10.1109/ACCESS.2018.2870096
Boschert, S., & Rosen, R. (2016). "Digital Twin—The Simulation Aspect." IFAC-PapersOnLine, 49(1), 567-572. https://doi.org/10.1016/j.ifacol.2016.07.225
Kritzinger, W., et al. (2018). "Digital Twin in Industry 4.0—A Review." IEEE Access, 6, 6655-6671. https://doi.org/10.1109/ACCESS.2018.2817438
Negri, E., et al. (2017). "A Review of the Roles of Digital Twin in CPS and Smart Manufacturing." Procedia CIRP, 64, 199-204.
https://doi.org/10.1016/j.procir.2017.03.071
Li, X., et al. (2020). "Digital Twin-driven Smart Manufacturing: Connotation, Reference Model, Applications and Research Directions." Robotics and Computer-Integrated Manufacturing, 61, 101839.
https://doi.org/10.1016/j.rcim.2019.101839
Websites & Whitepapers
Siemens Digital Industries. (2021). "The Impact of Digital Twins on Industry." Available at: https://www.siemens.com/digital-twin
GE Digital. (2020). "Digital Twin Technology in Business Operations." Available at: https://www.ge.com/digital/digital-twin
IBM Watson IoT. (2021). "Exploring the Potential of Digital Twin Technology." Available at: https://www.ibm.com/internet-of-things/digital-twin