Manufacturing 4.0 - the case study of Gaya Gelato Lab

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dc.contributor.advisor Cabigiosu, Anna it_IT
dc.contributor.author Solimeno, Giovanni <1990> it_IT
dc.date.accessioned 2017-06-21 it_IT
dc.date.accessioned 2017-09-29T12:59:13Z
dc.date.available 2017-09-29T12:59:13Z
dc.date.issued 2017-07-14 it_IT
dc.identifier.uri http://hdl.handle.net/10579/10581
dc.description.abstract The main objective of this dissertation is to describe and analyse the phenomenon of smart manufacturing, at international and national level. The expression Industry 4.0 and Smart Manufacturing are closely related due to the technologies and actors involved: smart manufacturing involves manufacturer and SME, while Industry 4.0 might involve a wider range of industries. The expression Industry 4.0 belongs to the project in the high-tech strategy of the German government that promotes the computerization of traditional industries. Its technological foundation consists of cyber-physical systems and the Internet of Things. This revolution is made possible by the availability of sensors and low-cost wireless connections, associated with an increasingly pervasive use of data and information, computational technologies and data analysis, new materials, components and systems and totally digitized connected (internet of things and machines). Industry 4.0 requires technological solutions for: optimize production processes, support of industrial automation processes, promote economic cooperation between businesses through advanced techniques of distributed planning, integrated management of logistics network and interoperability of information systems. We will comment the international trends of digitalization through the datas provided by the Global Informational Technology Report, the most significant annual report regarding worldwide digital industry growth. Then there will be a focus on the main case studies located in Italy, describing how and who is carrying out the Digital Manufacturing revolution in our country. Afterwords we will introduce our main case study, Gaya Gelatolab Srl, an Italian company founded in Italy in 2016 but present in the Asian market since 2008, working in the field of Gastronomy of the Natural Gelato from Italian tradition. The main technology innovation of Gaya lies in its production system at the center of which there is an exclusive batch freezer: "Principessa", in honor of the Sicilian plateau where the Italian gelato was born. Thanks to mantecatrice "Principessa" and its particular conservation of the temperature, one central laboratory can provide several stores every day, multiplying the potential for penetration in the area of interest with a fresh, handmade and high quality. Another innovative point of the "Gaya Gelatolab System" is balancing software recipes that can manage the exact quantities of the ingredients. The whole technology is Gaya online. Eventually we highlight the aspects that make smart manifacturing a significant resource for the Italian economy, thanks to the ability of digital technology to enhance the driver of the SME. We also want to demosntrate how the case study of Gaya Gelatolab is an impressive business model with international scope in the Italian manufacturing sector. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Giovanni Solimeno, 2017 it_IT
dc.title Manufacturing 4.0 - the case study of Gaya Gelato Lab it_IT
dc.title.alternative Manufacturing 4.0, the case study of Gaya Gelatolab 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 2016/2017 sessione estiva it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 855676 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 it_IT
dc.provenance.upload Giovanni Solimeno (855676@stud.unive.it), 2017-06-21 it_IT
dc.provenance.plagiarycheck Anna Cabigiosu (anna.cabigiosu@unive.it), 2017-07-03 it_IT


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