Analysis of Different Simulation Techniques for Solving Queueing Theory Problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F24%3A43972311" target="_blank" >RIV/49777513:23510/24:43972311 - isvavai.cz</a>

Výsledek na webu

<a href="https://fhi.euba.sk/www_write/files/katedry/kove/QME/QME_2024_web.pdf" target="_blank" >https://fhi.euba.sk/www_write/files/katedry/kove/QME/QME_2024_web.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Different Simulation Techniques for Solving Queueing Theory Problems

Popis výsledku v původním jazyce

This study deals with applying and analysing various simulation techniques in solving a problem from queueing theory (mass service system). The motivation for this study is to understand how different characteristics are obtained when using different probability distributions to generate input data. The starting point for this study is unpaired data on the number of units entering the system per unit time and the service time of requests. We modelled the changing intensity of input requirements using step change in intensity and polynomial regression. The service time was modelled by empirical, triangular, and gamma distribution. Combining these approaches, we created six models of a mass service system and identified their characteristics. The characteristics obtained by each model varied very little within statistical variation.

Název v anglickém jazyce

Analysis of Different Simulation Techniques for Solving Queueing Theory Problems

Popis výsledku anglicky

This study deals with applying and analysing various simulation techniques in solving a problem from queueing theory (mass service system). The motivation for this study is to understand how different characteristics are obtained when using different probability distributions to generate input data. The starting point for this study is unpaired data on the number of units entering the system per unit time and the service time of requests. We modelled the changing intensity of input requirements using step change in intensity and polynomial regression. The service time was modelled by empirical, triangular, and gamma distribution. Combining these approaches, we created six models of a mass service system and identified their characteristics. The characteristics obtained by each model varied very little within statistical variation.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Scientific Conference: Quantitative Methods in Economics - Multiple Criteria Decision Making XXII

ISBN

978-80-225-5144-1

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

134-140

Název nakladatele

Vydavaťelstvo EKONÓM

Místo vydání

Bratislava

Místo konání akce

Bratislava, Slovakia

Datum konání akce

12. 6. 2024

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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