Fleet optimization based on the Monte Carlo algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F20%3A10246138" target="_blank" >RIV/61989100:27360/20:10246138 - isvavai.cz</a>
Result on the web
<a href="http://www.actalogistica.eu/issues/2020/I_2020_03_Lampa_Samolejova.pdf" target="_blank" >http://www.actalogistica.eu/issues/2020/I_2020_03_Lampa_Samolejova.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22306/al.v7i1.151" target="_blank" >10.22306/al.v7i1.151</a>

Result language
angličtina
Original language name
Fleet optimization based on the Monte Carlo algorithm
Original language description
With the development of computers and software products, there is now greater use of quantitative methods in industrial enterprises when making managerial decisions. One of the most applicable solutions to computer simulation algorithms is the Monte Carlo method. The application of the Monte Carlo algorithm lies in finding a relation between the individual variables, which are the solutions to the problem and represent the characteristics of random processes reproducible on computers. The aim of this article is to show the application of simulations from the Monte Carlo algorithm using the example of optimising vehicle fleet capacity so that the total daily costs spent on transporting goods are minimal. (C) Acta Logistica, www.actalogistica.eu.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
50204 - Business and management

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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