magistrsko delo
Tamara Čuček (Author), Maja Pušnik (Mentor)

Abstract

Magistrsko delo obsega analizo in predstavitev orodij za podporo optimizacij procesov. Namen dela je ugotoviti, katero izmed orodij najbolje podpira optimizacijo poslovnih procesov, ter identificirati ključne lastnosti in razlike med orodji. Iz tega razloga se je izbralo pet orodij, ki se jih je analiziralo in predstavilo. V praktičnem delu je izveden eksperiment, z namenom prikazati razlike med orodji. Opravljena je analiza ključnih funkcij, kot so modeliranje, optimizacija, simulacija, validacija, nadzor in tipi notacij. Prav tako je v sklopu raziskovalnega dela izvedena anketa z namenom prikazati poznavanje orodij in njihovo uporabo na oddelkih informatike v slovenskih podjetjih.

Keywords

poslovni procesi;optimizacija;analiza orodij;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: T. Čuček
UDC: 004.4'22:659.2(043.2)
COBISS: 21885462 Link will open in a new window
Views: 646
Downloads: 125
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Other data

Secondary language: English
Secondary title: Analysis of tools for process optimization support
Secondary abstract: The master's degree involves the analysis and presentation of tools to support process optimizations. The purpose of the work is to determine which of the tools best supports the optimization of business processes and identify key features and differences between tools. For this reason, the five tools have been selected, analyzed and presented. The research includes an experiment which has been performed to show differences between optimization tools. An analysis of key functions such as modeling, optimization, simulation, validation, control and types of notations has been performed. A survey was also carried out with the aim of showing the knowledge of tools and their use in information technology departments in Slovenian companies.
Secondary keywords: business process;optimization;BPMN;anaysis of tools;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: X, 77 str.
ID: 10959484