Digital Technologies Research and Applications

Article

Design of Smart Factory Based on Asset Administration Shell

Downloads

https://doi.org/10.54963/dtra.v2i1.75
Wu, G., Wang, C., Huang, X., & Lu, Q. (2022). Design of Smart Factory Based on Asset Administration Shell. Digital Technologies Research and Applications, 2(1), 7–11. https://doi.org/10.54963/dtra.v2i1.75
Volume 2 Issue 1: March 2023
Copyright (c) 2022 The authors
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright

The authors shall retain the copyright of their work but allow the Publisher to publish, copy, distribute, and convey the work.

License

Digital Technologies Research and Applications (DTRA)  publishes accepted manuscripts under Creative Commons Attribution 4.0 International (CC BY 4.0). Authors who submit their papers for publication by DTRA agree to have the CC BY 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for any purpose, including commercial use. As long as the author and original source are properly cited, anyone may copy, redistribute, reuse, and transform the content.

Authors

  • Guangjie Wu School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, China
  • Chengyue Wang School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, China
  • Xiaojuan Huang
    School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, China
  • Quanbo Lu School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, China; School of Information Engineering, China University of Geosciences Beijing, China

Smart factories face the opportunities and challenges brought by globalization and new technologies, which requires flexible and practical approaches to lean manufacturing and optimization. The asset administration shell (AAS) is expected to help factories better cope with new challenges throughout the life cycle. This paper proposes a methodological framework for building AAS for the whole lifecycle of a smart factory. Based on the AAS methodological framework, the theory study of smart factories is developed.

Keywords:

Smart factory AAS I4.0 component Smart manufacturing

References

  1. Mabkhot, M.M., Al-Ahmari, A.M., Salah, B., et al., 2018. Requirements of the smart factory system: A survey and perspective. Machines. 6(2), 23.
  2. Osterrieder, P., Budde, L., Friedli, T., 2020. The smart factory as a key construct of industry 4.0: A systematic literature review. International Journal of Production Economics. 221, 107476.
  3. Shi, Z., Xie, Y., Xue, W., et al., 2020. Smart factory in Industry 4.0. Systems Research and Behavioral Science. 37(4), 607-617.
  4. Kalsoom, T., Ramzan, N., Ahmed, S., et al., 2020. Advances in sensor technologies in the era of smart factory and industry 4.0. Sensors. 20(23), 6783.
  5. Ho, T.M., Tran, T.D., Nguyen, T.T., et al., 2019. Next-generation wireless solutions for the smart factory, smart vehicles, the smart grid and smart cities. arXiv preprint arXiv:1907.10102.
  6. Jerman, A., Pejić Bach, M., Aleksić, A., 2020. Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science. 37(2), 388-402.
  7. Wan, J., Yang, J., Wang, Z., et al., 2018. Artificial intelligence for cloud-assisted smart factory. IEEE Access. 6, 55419-55430.
  8. Pech, M., Vrchota, J., Bednář, J., 2021. Predictive maintenance and intelligent sensors in smart factory. Sensors. 21(4), 1470.
  9. Wang, S., Ouyang, J., Li, D., et al., 2017. An integrated industrial ethernet solution for the implementation of smart factory. IEEE Access. 5, 25455-25462.
  10. Tantik, E., Anderl, R., 2017. Integrated data model and structure for the asset administration shell in industrie 4.0. Procedia Cirp. 60, 86-91.
  11. Cavalieri, S., Salafia, M.G., 2020. Asset administration shell for PLC representation based on IEC 61131–3. IEEE Access. 8, 142606-142621.
  12. Cavalieri, S., Salafia, M.G., 2020. A model for predictive maintenance based on asset administration shell. Sensors. 20(21), 6028.
  13. Park, K.T., Yang, J., Noh, S.D., 2021. VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell. Journal of Intelligent Manufacturing. 32(2), 501-544.
  14. Platenius-Mohr, M., Malakuti, S., Grüner, S., et al., 2020. File-and API-based interoperability of digital twins by model transformation: An IIoT case study using asset administration shell. Future generation computer systems. 113, 94-105.
  15. Chilwant, N., Kulkarni, M.S., 2019. Open asset administration shell for industrial systems. Manufacturing Letters. 20, 15-21.