Analysis of Different Simulation Techniques for Solving Queueing Theory Problems
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Analysis of Different Simulation Techniques for Solving Queueing Theory Problems
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
7
Pages from-to
134-140
Publisher name
Vydavaťelstvo EKONÓM
Place of publication
Bratislava
Event location
Bratislava, Slovakia
Event date
Jun 12, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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