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master's thesis
Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji
2019. urn:nbn:hr:200:742465
Mesić, Domagoj
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

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Mesić, D. (2019). Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:742465

Mesić, Domagoj. "Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:742465

Mesić, Domagoj. "Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:742465

Mesić, D. (2019). 'Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:742465

Mesić D. Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2023 March 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:742465

D. Mesić, "Internet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:742465

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Metadata
TitleInternet stvari u analitici u Audiu: Analiza i optimizacija procesa transporta i uporabe zakovica u automobilskoj industriji
Title (english)IoT and analytics at Audi: Analysis and optimization of a riveting process within the automotive industry
Title (german)IoT und Analytics bei Audi: Analyse und Optimierung des Stanznietenprozesses innerhalb der Automobilindustrie
AuthorDomagoj Mesić
MentorTomislav Keser (mentor)
Committee memberTomislav Keser (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberTomislav Rudec (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2019-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U ovom diplomskom radu proučeni su SAP Leonardo i njegove tehnologije, koji su pojedinačno objašnjeni. Dio tehnologija se u radu primijenio na konkretnom slučaju iz odjela karoserije, u kojemu se nalaze roboti za spajanje zakovicama, koji kreiraju podatke korištene u ovom radu. Podatke je prije svega, kako bi se olakšalo praćenje istih, bilo potrebno vizualizirati. Potom su isti podaci korišteni za analizu, kako bi se potom testirali SAP alati za analitiku. Rad je dakle podijeljen na dva dijela, u prvom dijelu su tehnologije i problem teoretski obrađeni, kao i moguće rješenje, a u drugom dijelu je primijenjena SAP Leonardo tehnologija, čiji su koraci detaljno objašnjeni.
Abstract (english)
In this Master thesis are examined SAP Leonardo and its technologies, which are explained individually. Some technologies in the thesis were applied to a specific case from the body shop department, in which are placed robots for riveting, that are generating the data used in thesis. First of all, in order to facilitate the tracking of the data, it was necessary to visualize the data. The same data were then used for analysis, to test the SAP analytics tools. Therefore, the work is divided into two parts, in the first part the technologies and the problem are theoretically elaborated, as well as the possible solution, and in the second part SAP Leonardo technology was applied, whose steps are explained in detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:742465
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-12-18 16:37:30