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Semantic Representation of Cloud Manufacturing Services and Processes for Industry 4.0

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Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 993))

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Abstract

The manufacturing process has become increasingly complex, based on many new technologies and advanced networks, in response to changes in local, national and international markets. In particular, what companies are trying to adopt is the so-called Cloud Manufacturing, a business model based on the network sharing of some technologies that allow analysis and real-time management of data related to machinery, equipment, and all the resources that participate in the supply chain of a product. This work consists in having understood and developed a semantic representation of the services that Cloud Manufacturing offers in its implementation, and in particular the computer technologies on which it is based.

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References

  1. Tao, Fei, Zuo, Ying, Xu, Li Da, Zhang, e Lin: IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Transactions on Industrial Informatics, vol. 10, no. 2, May 2014 (2014)

    Google Scholar 

  2. Boyes, Hugh, Hallaq, Bil, Cunningham, Joe, Watson, Tim: The industrial internet of things (IIoT): an analysis framework. In: Computers in Industry, vol. 101, pp. 1–12, ISSN 0166-3615 (2018)

    Google Scholar 

  3. Yadekar, Yaser, Shehab, Essam, Mehnen, Jorn: Taxonomy and uncertainties of cloud manufacturing. Int. J. Agile Syst. Manag. 9, 48–66 (2016). https://doi.org/10.1504/IJASM.2016.076577

    Article  Google Scholar 

  4. Liu, N., Li, X.: A resource virtualization mechanism for cloud manufacturing systems. In: van Sinderen, M., Johnson, P., Xu, X., Doumeingts, G. (eds.) Enterprise Interoperability. IWEI 2012. Lecture Notes in Business Information Processing, vol. 122. Springer, Berlin, Heidelberg (2012)

    Google Scholar 

  5. Liu, Y., Xu, X.: Industry 4.0 and cloud manufacturing: a comparative analysis. In: ASME. J. Manuf. Sci. Eng. 139(3):034701-034701-8 (2016). https://doi.org/10.1115/1.4034667

  6. Kubler, S., Holmström, J., Främling, K., Turkama, P.: Technological theory of cloud manufacturing. In: Borangiu, T., Trentesaux, D., Thomas, A., McFarlane, D. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol. 640. Springer, Cham (2016)

    Google Scholar 

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Correspondence to Beniamino Di Martino .

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Di Martino, B., Di Traglia, V., Orefice, I. (2020). Semantic Representation of Cloud Manufacturing Services and Processes for Industry 4.0. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_75

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