AutomationML in industry 4.0 environment : a systematic literature review
- Author
- Jiaqi Zhao (UGent) , Matthias Schamp (UGent) , Steven Hoedt (UGent) , El-Houssaine Aghezzaf (UGent) and Johannes Cottyn (UGent)
- Organization
- Abstract
- AutomationML is an open neutral XML based data exchange format used in automation systems. It has come into the public for more than 10 years and is being used in many different areas in all kinds of manufacturing applica-tions, such as digital twin, reconfigurable manufacturing systems, heteroge-neous data exchange, etc. However, no comprehensive literature review on the research and application progress of AutomationML has been found since the initiation of AutomationML. Based on the study and analysis of AutomationML related publications, this paper gives a detailed illustration on the state-of-the-art of AutomationML. Firstly, the background and terminolo-gies related to AutomationML are introduced. Secondly, the paper applies a methodology to collect AutomationML related publications, on which an analysis based on a multidimensional literature classification is conducted. Thirdly, according to the analysis results, current research status and whether AutomationML can meet the requirements for industry 4.0 environment are discussed. Finally, conclusion and outlook are illustrated in the end.
- Keywords
- AutomationML, Digital twin, Reconfigurable manufacturing, Heterogeneous data exchange, Literature review
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8690743
- MLA
- Zhao, Jiaqi, et al. “AutomationML in Industry 4.0 Environment : A Systematic Literature Review.” Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020), edited by Philipp Weißgraeber et al., Springer, 2021, pp. 162–69, doi:10.1007/978-3-662-62962-8_19.
- APA
- Zhao, J., Schamp, M., Hoedt, S., Aghezzaf, E.-H., & Cottyn, J. (2021). AutomationML in industry 4.0 environment : a systematic literature review. In P. Weißgraeber, F. Heieck, & C. Ackermann (Eds.), Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020) (pp. 162–169). https://doi.org/10.1007/978-3-662-62962-8_19
- Chicago author-date
- Zhao, Jiaqi, Matthias Schamp, Steven Hoedt, El-Houssaine Aghezzaf, and Johannes Cottyn. 2021. “AutomationML in Industry 4.0 Environment : A Systematic Literature Review.” In Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020), edited by Philipp Weißgraeber, Frieder Heieck, and Clemens Ackermann, 162–69. Springer. https://doi.org/10.1007/978-3-662-62962-8_19.
- Chicago author-date (all authors)
- Zhao, Jiaqi, Matthias Schamp, Steven Hoedt, El-Houssaine Aghezzaf, and Johannes Cottyn. 2021. “AutomationML in Industry 4.0 Environment : A Systematic Literature Review.” In Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020), ed by. Philipp Weißgraeber, Frieder Heieck, and Clemens Ackermann, 162–169. Springer. doi:10.1007/978-3-662-62962-8_19.
- Vancouver
- 1.Zhao J, Schamp M, Hoedt S, Aghezzaf E-H, Cottyn J. AutomationML in industry 4.0 environment : a systematic literature review. In: Weißgraeber P, Heieck F, Ackermann C, editors. Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020). Springer; 2021. p. 162–9.
- IEEE
- [1]J. Zhao, M. Schamp, S. Hoedt, E.-H. Aghezzaf, and J. Cottyn, “AutomationML in industry 4.0 environment : a systematic literature review,” in Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020), Stuttgart, Germany (Online), 2021, pp. 162–169.
@inproceedings{8690743,
abstract = {{AutomationML is an open neutral XML based data exchange format used in automation systems. It has come into the public for more than 10 years and is being used in many different areas in all kinds of manufacturing applica-tions, such as digital twin, reconfigurable manufacturing systems, heteroge-neous data exchange, etc. However, no comprehensive literature review on the research and application progress of AutomationML has been found since the initiation of AutomationML. Based on the study and analysis of AutomationML related publications, this paper gives a detailed illustration on the state-of-the-art of AutomationML. Firstly, the background and terminolo-gies related to AutomationML are introduced. Secondly, the paper applies a methodology to collect AutomationML related publications, on which an analysis based on a multidimensional literature classification is conducted. Thirdly, according to the analysis results, current research status and whether AutomationML can meet the requirements for industry 4.0 environment are discussed. Finally, conclusion and outlook are illustrated in the end.}},
author = {{Zhao, Jiaqi and Schamp, Matthias and Hoedt, Steven and Aghezzaf, El-Houssaine and Cottyn, Johannes}},
booktitle = {{Advances in Automotive Production Technology : Theory and Application, Stuttgart Conference on Automotive Production (SCAP2020)}},
editor = {{Weißgraeber, Philipp and Heieck, Frieder and Ackermann, Clemens}},
isbn = {{9783662629611}},
issn = {{2524-7247}},
keywords = {{AutomationML,Digital twin,Reconfigurable manufacturing,Heterogeneous data exchange,Literature review}},
language = {{eng}},
location = {{Stuttgart, Germany (Online)}},
pages = {{162--169}},
publisher = {{Springer}},
title = {{AutomationML in industry 4.0 environment : a systematic literature review}},
url = {{http://doi.org/10.1007/978-3-662-62962-8_19}},
year = {{2021}},
}
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