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The Industry 4.0 promotes the use of Information and Communication Technologies (ICT) in manufacturing processes to obtain customized products satisfying demanding needs of new consumers. The Industry 4.0 approach transforms the traditional pyramid model of automation to a network model of interconnected services, combining operational technology (OT) with Information Technology (IT). This new model allows the creation of ecosystems enabling more flexible production processes through connecting systems and sharing data. In this context, cloud computing and big data are critical technologies for leveraging the approach. Thus, this paper analyzes cloud computing and big data under the lenses of two leading reference architectures for implementing Industry 4.0: 1) the Industrial Internet Reference Architecture (IIRA), and 2) the Reference Architecture Model Industrie 4.0 (RAMI 4.0). A main contribution of this paper is to present a comparative analysis of IIRA and RAMI 4.0, discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.
A. T. Kearney, “Readiness for the Future of Production : Country Profiles,” 2017.
R. Blanco, J. Fontrodona, and C. Poveda, “La industria 4.0: el estado de la cuestión,” Econ. Ind., no. 406, pp. 151–164, 2017.
Plattform Industrie 4.0, “Digitization of Industrie – Platform Industrie 4.0,” Plattf. Ind. 4.0, no. April, p. 28, 2016.
IIC, “The Industrial Internet of Things , Volume B01 : Business Strategy and Innovation Framework,” 2016.
S. Schrecker et al., “Industrial Internet of Things Volume G4 : Security Framework,” Ind. Internet Consort., pp. 1–173, 2016.
I. M. S. Board and F. I. for M. E. and A. IPA, “Factory of the future,” 2015.
Dr. Kartsen Schweichhart, “Reference Architectural Model Industrie 4.0 (RAMI 4.0): An Introduction,” in Publikationen der Plattform Industrie 4.0, 2016, vol. 0, no. April.
H.-C. Pfohl, B. Yahsi, and T. Kuznaz, “The impact of Industry 4.0 on the Supply Chain,” Proc. Hambg. Int. Conf. Logist. (HICL)-20, no. August, pp. 32–58, 2015.
G. Reinhard, V. Jesper, and S. Stefan, “Industry 4.0: Building the digital enterprise,” 2016 Glob. Ind. 4.0 Surv., pp. 1–39, 2016.
A. Gilchrist, Industry 4.0 The Industrial Internet of Things, 2016th ed. Bangken, Nonthaburi, Thailand, 2016.
F. Almada-Lobo, “The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES),” J. Innov. Manag., vol. 3, no. 4, p. 17, 2016.
L. Thames and D. Schaefer, “Software-defined Cloud Manufacturing for Industry 4.0,” Procedia CIRP, vol. 52, pp. 12–17, 2016.
G. Lars Adolph, Bundesanstalt, “DIN / DKE – Roadmap G E R M A N S TA N D A R D I Z AT I O N,” Alemanua.
S. Yin and O. Kaynak, “Big Data for Modern Industry: Challenges and Trends,” Proc. IEEE, vol. 103, no. 2, pp. 143–146, 2015.
D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016.
J. Lee, B. Bagheri, and H.-A. Kao, “Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics,” Int. Conf. Ind. Informatics, no. November 2015, pp. 1–6, 2014.
A. Industrial, I. Consortium, and Platform Industrie 4.0, “Architecture Alignment and Interoperability,” 2017.
D. I. N. Spec, R. Architecture, M. Industrie, and D. I. N. Spec, “DIN SPEC 91345,” 2016.
P. Adolphs, “Rami 4.0,” 2015, no. June.
M. Nardello, C. Møller, and J. Gøtze, “Organizational Learning Supported by Reference Architecture Models : Industry 4 . 0 Laboratory Study,” no. 12, pp. 22–38, 2017.
VDMA, “Industrie 4.0 Communication Guideline Based on OPC UA,” Germany, 2017.
M. Hankel and B. Rexroth, “The Reference Architectural Model Industrie 4.0 (RAMI 4.0),” 2015.
G. Figueroa, “Adidas se suma a la industria 4.0 de la mano de Siemens,” Mexico, pp. 4–5, 28-Apr-2017.
infoplc, “Bosch y un proyecto con RAMI 4.0 e IIRA,” 2016. [Online]. Available: http://www.infoplc.net/noticias/item/103262-bosch-connectedworld-iot.
UNE, “Estandarización Industria 4.0,” 2017.
Articles accepted for publication will be licensed under the Creative Commons BY-NC-SA. Authors must sign a non-exclusive distribution agreement after article acceptance.
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