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master's thesis
Statistička analiza kvalitete proizvoda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:789328
Hrgović, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Hrgović, L. (2019). Statistička analiza kvalitete proizvoda (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:789328

Hrgović, Luka. "Statistička analiza kvalitete proizvoda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:789328

Hrgović, Luka. "Statistička analiza kvalitete proizvoda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:789328

Hrgović, L. (2019). 'Statistička analiza kvalitete proizvoda', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:789328

Hrgović L. Statistička analiza kvalitete proizvoda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:789328

L. Hrgović, "Statistička analiza kvalitete proizvoda", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:789328

Metadata
TitleStatistička analiza kvalitete proizvoda
Title (english)Statistical Analysis of Product Quality
AuthorLuka Hrgović
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberMervan Pašić (član povjerenstva)
Committee memberMate Puljiz (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Pojam poslovne inteligencije obuhvaća strategije i tehnologije koje poduzeća koriste za analizu podataka o poslovnim informacijama. Tema ovog rada je primjena poslovne inteligencije za statističku analizu kvalitete proizvoda u procesnoj industriji. U teorijskom dijelu rada obrađeni su pojmovi poslovne inteligencije, skladišta podataka, ETL procesa i vizualizacije podataka. U praktičnom dijelu rada pripremljeni su podaci o procesu proizvodnje dva aluminijska proizvoda te je napravljeno odgovarajuće skladište podataka. Zatim su provedene sve faze ETL procesa. Učitani su podaci iz izvora, nad njima su provedeni statistički izračuni te su spremljeni u skladište podataka. Na kraju su napravljeni analitički izvještaji o proizvodima koji sadrže grafičke rezultate statističkih izračuna i kojima korisnik interaktivno upravlja.
Abstract (english)
The concept of business intelligence includes the strategies and technologies that companies use to analyze business data. The topic of this paper is the application of business intelligence for statistical analysis of product quality in the process industry. Theoretical part of the paper deals with the concepts of business intelligence, data warehouse, ETL process and visualization of data. In the practical part, data on the process of production of two aluminum products were prepared and an appropriate data warehouse was made. All stages of the ETL process were then implemented. The data from the source was loaded, statistical calculations were executed and stored in the data warehouse. In the end, analytical product reports, that can be interactively managed by the user, have been made, containing graphical results of statistical calculations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:789328
Study programmeTitle: Computing
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
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Created on2020-01-07 18:25:51