Predictive Manufacturing: Enabling Technologies, Frameworks and Applications-Reference-Cited by-同舟云学术

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Predictive Manufacturing: Enabling Technologies, Frameworks and Applications

Published:2021 Issue: Volume: Page:51-61
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
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Author:

Pulikottil Terrin,Estrada-Jimenez Luis Alberto,Nikghadam-Hojjati Sanaz,Barata Jose

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78288-7_5

Reference35 articles.

1. Mittal, S., Khan, M.A., Romero, D., Wuest, T.: Smart manufacturing: characteristics, technologies and enabling factors. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 233(5), 1342–1361 (2019). https://doi.org/10.1177/0954405417736547

2. Nikolic, B., Ignjatic, J., Suzic, N., Stevanov, B., Rikalovic, A.: Predictive manufacturing systems in industry 4.0: trends, benefits and challenges. In: International DAAAM Symposium, pp. 796–802 (2017). Ann. DAAAM Proc. https://doi.org/10.2507/28th.daaam.proceedings.112

3. Lee, J.: Intelligent Maintenance Systems and Predictive Manufacturing, November 2020. https://doi.org/10.1115/1.4047856

4. Peres, R.S., Jia, X., Lee, J., Sun, K., Colombo, A.W., Barata, J.: Industrial artificial intelligence in industry 4.0 -systematic review, challenges and outlook. IEEE Access 4, 1–21 (2020). https://doi.org/10.1109/ACCESS.2020.3042874

5. Guha, S., Kumar, S.: Emergence of big data research in operations management, information systems, and healthcare: past contributions and future roadmap. Prod. Oper. Manag. 27(9), 1724–1735 (2018). https://doi.org/10.1111/poms.12833

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