Analiza kvarova uređaja i opreme korištenjem metoda poslovnog izvješćivanja

Milković, Vili (2008) Analiza kvarova uređaja i opreme korištenjem metoda poslovnog izvješćivanja. = Analisis of device and equipment failures by means of business intelligence methods. Scientific master's thesis , Sveučilište u Zagrebu, Fakultet strojarstva i brodogradnje, UNSPECIFIED. Mentor: Štefanić, Nedeljko.

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29_10_2008_Magistarski_rad-Vili_Milkovic,dipl.inz.stroj..pdf - Published Version Jezik dokumenta:Croatian

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Abstract (Croatian)

U analizi podataka i njihovoj optimalnoj iskoristivosti u tvrtci Održavanje vagona d.o.o. (u vlasništvu Hrvatskih željeznica), potrebno je primjenjivati suvremene metode dubinskih analiza koje su sastavni dio poslovnog izvješćivanja. U radu je dat pregled primjena metoda poslovnog izvješćivanja u iskoristivosti informacija i podataka bitnih za daljnje analize. Prikupljeni su podaci o kvarovima na svim serijama klimatiziranih modernih putničkih vagona u razdoblju od 1.1.2005. godine do 1.1.2007. godine, te je napravljena njihova obrada i analiza raznim metodama. Na temelju dobivenih rezultata analize, definirani su najznačajniji uzročnici kvarova na klimatiziranim vagonima. Potom su uspoređivani rezultati pojedinih metoda i odabrana je optimalna metoda.

Abstract

In analysing data for Maintenance of Railway Carriages LLC which is owned by the Croatian Railways and with regard to their optimal utilization, it is necessary to apply modern methods of depth analyses which are component parts of the business intelligence. The paper provides an overview of the applied business intelligence methods with regard to the utilization of the information and data necessary for further analyses. Covering the period from 1 January 2005 to 1 January 2007, data on defects in all model ranges of the air-conditioned modern passenger carriages were collected, processed and analyzed by applying different methods. Based on the results of the analysis, the most important causes of defects in the air-conditioned carriages were identified. After that, the results of the individual methods were compared and the optimal method was chosen.

Item Type: Thesis (Scientific master's thesis)
Uncontrolled Keywords: poslovno izvješćivanje; skladište podataka; OLAP alati; dubinske analize; multidimenzijsko skaliranje; stablo odlučivanja; neuronske mreže; regresijska analiza
Keywords (Croatian): business intelligence; data warehouse; OLAP tools; data mining; cluster analisis; multidimensional scaling; decision tree; neural networks; regression analisis
Divisions: 700 Department of Industrial Engineering > 720 Chair of Production Control
Date Deposited: 22 Sep 2014 18:00
Last Modified: 16 Oct 2015 13:17
URI: http://repozitorij.fsb.hr/id/eprint/376

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