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Optimisation of the Number of Maintenance Workers Based on the Monte Carlo algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F16%3A10238280" target="_blank" >RIV/61989100:27360/16:10238280 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimisation of the Number of Maintenance Workers 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. Application of the Monte Carlo algorithm lies in finding a relation between the individual variables that are the solutions to the problem and that represent the characteristics of random processes reproducible on computers. The aim of this article is to show the application of the Monte Carlo algorithm through an example of optimising the number of maintenance workers in a workshop with 12 machines of the same type.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Hutnické listy

  • ISSN

    0018-8069

  • e-ISSN

  • Volume of the periodical

    69

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    22-26

  • UT code for WoS article

  • EID of the result in the Scopus database