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master's thesis
Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2014. urn:nbn:hr:235:978368
Savić, Marko
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Savić, M. (2014). Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:978368

Savić, Marko. "Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2014. https://urn.nsk.hr/urn:nbn:hr:235:978368

Savić, Marko. "Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2014. https://urn.nsk.hr/urn:nbn:hr:235:978368

Savić, M. (2014). 'Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:978368

Savić M. Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2014 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:235:978368

M. Savić, "Mogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:235:978368

Metadata
TitleMogućnosti primjene alata poslovne inteligencije u maloserijskoj proizvodnji
Title (english)Application of business intelligence tools in the small-series production
AuthorMarko Savić
MentorDragutin Lisjak (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2014-12-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U radu su prikazane teorijske osnove metoda poslovne inteligencije s posebnim naglaskom na metode i modele rudarenja podataka. Prikazani su osnovni uvjeti za provedbu analize metodama rudarenja podataka. Testirana je hipoteza kako podaci dostupni u bazi koji su prikupljeni u procesu proizvodnje utječu na faktor cijene proizvoda. Provedenom analizom pokazalo se kako je moguće kreirati modele zadovoljavajuće preciznosti pomoću kojih je menadžment poduzeća u mogućnosti donositi brže i kvalitetnije poslovne odluke. Hipotezom se želi pokazati kako je uz pomoć prediktivnih modela moguće planirati materijalne i financijske potrebe, kao i dati potencijalnim kupcima preporučenu cijenu za izradu traženoga proizvoda. Također su modelirana i poslovna pravila kojima je cilj pomoći u boljoj organizaciji poslovanja poduzeća.
Abstract (english)
In this thesis the basic methods of business intelligence are shown. The special focus was on the methods of data mining. The basic conditions for data mining analysis which must be met are shown. The hypothesis was made that the data given in the dataset of a small-series production company has a significant effect on the final price of the product. The analysis was made and the given results had sufficient precision. Thanks to the given results, the company can predict the average cost of various products with certain reliability. Also, the company is able to make faster and better business decisions that are based on scientific methods. The hypothesis had shown that with the help of the prediction models the company will be able to plan enterprise resources, as well as the financial resources. In second part, the business rules are discussed. The created business rules can be used to help better the business organization.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:978368
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-22 12:15:51