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Title:Simulacija strežnega sistema v poslovalnici banke
Authors:ID Bogataj, Andrej (Author)
ID Škraba, Andrej (Mentor) More about this mentor... New window
ID Brezavšček, Alenka (Comentor)
Files:.pdf VS_Bogataj_Andrej_2023.pdf (1,19 MB)
MD5: ABA7D6EB959C8DBEA576A074C97BD860
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:V diplomskem delu je obravnavan razvoj simulacijskega modela strežnega sistema v banki. Razvitih je bilo več simulacijskih modelov in izvedena primerjava učinkovitosti različnih organizacijskih struktur. Simulacijski modeli so bili razviti s pomočjo orodja Anylogic po principu dogodkovne simulacije. Opisan je način vzorčenja časov med prihodi in časi strežbe. Izvedena je primerjava rezultatov simulacijskih tekov in izveden je izbor najbolj učinkovite rešitve.
Keywords:optimizacija, simulacija, čakalne vrste, zaposleni, stranke
Place of publishing:Maribor
Year of publishing:2023
PID:20.500.12556/DKUM-85491 New window
COBISS.SI-ID:169655043 New window
Publication date in DKUM:24.10.2023
Views:472
Downloads:52
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:31.08.2023

Secondary language

Language:English
Title:Simulation of the server system in the bank's branch office
Abstract:The thesis deals with the development of a simulation model of the server system in the bank. Several simulation models were developed, and the efficiency of different organizational structures was compared. The simulation models were developed using the Anylogic tool according to the principle of discrete event simulation. The method of sampling times between arrivals and service times is described. The results of simulation runs are compared, and the most efficient solution is selected.
Keywords:optimization, simulation, queues, employees, customers


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