Digital Twin Development for Serial Manipulators: Data Driven Optimized Planning and Sequencing of Tasks
Studies in this area focus mostly on
concepts,
modeling
approaches,
frameworks and use cases of DT. 4 For
example, various use cases of DT were
presented, such as designs of products and
production lines, 5 6 optimization of
production processes 7 and shop floor DT. 8
Tesla, Siemens, General Electric, Dassault
Systems and PTC have also implemented DT
concepts in order to enhance their
manufacturing capability. 9 Meanwhile,
some
researchers
concentrate
on
I NTRODUCTION
Digital Twin (DT) has been identified as one
of the key technologies in the era of smart
manufacturing to achieve several business
benefits, such as improvements in
productivity, efficiency and reduction of
time to market for new products. Since the
concept of a DT model was first introduced,
research and development efforts in this
topic were scarce due to the immaturity of
enabling technologies. 1 Fortunately, recent
breakthrough advancements in high
performance computation engines, data
acquisition
systems,
communication
protocols, cloud computing, big data
analytics and Artificial Intelligence (AI)
algorithms have enabled the widespread
implementation of DT and allowed for more
studies on this topic. 2 3
1
Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. US Florida Institute of
Technology.
2
Negri, E., Fumagalli, L., & Macchi, M. (2017). A review of the roles of digital twin in CPS-based production systems. Procedia
Manufacturing, 11, 939-948.
3
Tao, F., Qi, Q., Wang, L., Nee, & A.Y.C. (2019). Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and
Industry 4.0: Correlation and Comparison. Engineering, 5, 653-661.
4
Liu, Q., Liu, B., Wang, G., & Zhang, C. (2019). A comparative study on digital twin models. AIP Conference Proceedings, 2073.
5
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., & Nee, A. Y. C. (2019). Digital twin-driven product design framework.
International Journal of Production Research, 57(12), 3935-3953.
6
Zhang, H., Liu, Q., Chen, X., Zhang, D., & Leng, J. (2017). A digital twin-based approach for designing and multi-objective
optimization of hollow glass production line. IEEE Access, 5, 26901-26911.
7
Uhlemann, T. H. J., Lehmann, C., & Steinhilper, R. (2017). The digital twin: Realizing the cyber-physical production system for
industry 4.0. Procedia Cirp, 61, 335-340.
8
Tao, F., & Zhang, M. (2017). Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access, 5,
20418-20427.
9
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP
Annals, 66(1), 141-144.
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November 2019