Optimisation of service capacity based on queueing theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F19%3A10243095" target="_blank" >RIV/61989100:27230/19:10243095 - isvavai.cz</a>
Result on the web
<a href="https://www.mmscience.eu/journal/issues/October%202019/articles/optimisation-of-service-capacity-based-on-queueing-theory" target="_blank" >https://www.mmscience.eu/journal/issues/October%202019/articles/optimisation-of-service-capacity-based-on-queueing-theory</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2019_10_201889" target="_blank" >10.17973/MMSJ.2019_10_201889</a>
Alternative languages
Result language
angličtina
Original language name
Optimisation of service capacity based on queueing theory
Original language description
Queueing theory is a mathematical tool which can be applied for capacity planning and optimisation of production, manufacturing or logistics systems. One of the possible applications of queueing theory is service capacity optimisation. Let us consider that an engineering company operates m homogeneous machines. We assume that the machines are successively operating and down and times between failures and times to repair are exponentially distributed. The broken-down machines are repaired by n repairmen; we assume that n < m. In the article a mathematical model of the problem is presented; the model can be used for optimisation of the number of the repairmen with respect to costs of the system. Results obtained by the mathematical model are compared with simulation results; a simulation model of the problem is based on coloured Petri nets.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20306 - Audio engineering, reliability analysis
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MM Science Journal
ISSN
1803-1269
e-ISSN
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Volume of the periodical
2019
Issue of the periodical within the volume
October
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
2975-2981
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85073544281