A systematic literature review on the application of process mining to Industry 4.0
Author:
Funder
FWO
Ministry of Science and Innovation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-02042-x.pdf
Reference62 articles.
1. Lasi H, Fettke P, Kemper HG, Feld T, Hoffmann M (2014) Industry 4.0. Bus Inf Syst Eng 6(4):239–242. https://doi.org/10.1007/s12599-014-0334-4
2. Mehta P, Rao P, Wu ZD, Jovanović V, Wodo O, Kuttolamadom M (2018) Smart manufacturing: state-of-the-art review in context of conventional and modern manufacturing process modeling, monitoring and control. In: Manufacturing equipment and systems. ASME 2018 13th international manufacturing science and engineering conference, vol. 3, pp. 1–21. https://doi.org/10.1115/MSEC2018-6658
3. Romero D, Bernus P, Noran O, Stahre J, Fast-Berglund Å (2016) The operator 4.0: human cyber-physical systems adaptive automation towards human-automation symbiosis work systems. In: Nääs I et al. (Eds) Advances in production management systems. Initiatives for a sustainable world. APMS 2016. IFIP advances in information and communication technology, vol 488, pp. 677–686. Springer, Cham. https://doi.org/10.1007/978-3-319-51133-7-P_80
4. Fischer S (2014) Challenges of the internet of services. In: Wahlster W, Grallert HJ, Wess S, Friedrich H, Widenka T (eds) Towards the internet of services: the THESEUS Research Program. Cognitive Technologies. Springer, Cham, Switzerland, pp 15–27. https://doi.org/10.1007/978-3-319-06755-1_2
5. Qin J, Liu Y, Grosvenor R (2016) A categorical framework of manufacturing for industry 4.0 and beyond. In: Procedia CIRP. The sixth international conference on changeable, Agile, Reconfigurable and virtual production (CARV2016), vol. 52, pp. 173–178. https://doi.org/10.1016/j.procir.2016.08.005
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