FOG COMPUTING: THE KEYSTONE FOR THE FUTURE OF INDUSTRIAL IoT. IMPACTS ON LEAN PRODUCTION ENVIRONMENTS.

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dc.contributor.advisor Zirpoli, Francesco it_IT
dc.contributor.author Gottardelli, Chiara <1991> it_IT
dc.date.accessioned 2018-10-07 it_IT
dc.date.accessioned 2019-02-19T15:12:34Z
dc.date.issued 2018-10-30 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13667
dc.description.abstract The Fourth Industrial revolution dominates the current discussion of researchers on manufacturing. At the same time, worldwide companies are becoming aware of the importance of Industrial IoT (IIoT) for competitive advantages. Even Governments have assumed an important role in the field and set themselves as promoters of technological change with policies in favor of industrial digitalization. In this scenario, Industrial IoT is driving the need for extensive adoption of advanced IT features across multiple Industry verticals. Moreover, in companies that apply Lean production concepts, IIoT accelerates Lean benefits. The research gives an overview over existing combination of Industry 4.0 and Lean production, through Fog computing technology. Fog computing brings many Cloud IT features close to industrial processes and merges those with real-time features, increasing production efficiency. Fog Computing was introduced by Cisco in 2014 and a startup located in Silicon Valley, Nebbiolo Technologies, was the first pioneer on developing this new technology. This company is deploying it in different industrial applications. Considering the industrial automation, this thesis wants to underline the improvements and changes within corporate organizational structure resulting from the application of Fog computing. Furthermore, this paper wants to validate the quantitative and qualitative data from two case studies deployed in worldwide companies: one in food industry and the other in the cosmetic and pharmaceutical sector. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Chiara Gottardelli, 2018 it_IT
dc.title FOG COMPUTING: THE KEYSTONE FOR THE FUTURE OF INDUSTRIAL IoT. IMPACTS ON LEAN PRODUCTION ENVIRONMENTS. it_IT
dc.title.alternative FOG COMPUTING: THE KEYSTONE FOR THE FUTURE OF INDUSTRIAL IoT. IMPACTS ON LEAN PRODUCTION ENVIRONMENTS. it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e gestione delle aziende it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2017/2018, lauree sessione autunnale it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 833187 it_IT
dc.subject.miur SECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESE it_IT
dc.description.note - it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Chiara Gottardelli (833187@stud.unive.it), 2018-10-07 it_IT
dc.provenance.plagiarycheck Francesco Zirpoli (fzirpoli@unive.it), 2018-10-22 it_IT


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