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Monte Carlo Methods for Industry 4.0 Applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126184" target="_blank" >RIV/00216224:14330/22:00126184 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SMC53654.2022.9945553" target="_blank" >http://dx.doi.org/10.1109/SMC53654.2022.9945553</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC53654.2022.9945553" target="_blank" >10.1109/SMC53654.2022.9945553</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monte Carlo Methods for Industry 4.0 Applications

  • Original language description

    The fourth industrial revolution and the digital transformation, commonly known as Industry 4.0, is exponentially progressing in recent years. Connected computers, devices, and intelligent machines communicate with each other and interact with the environment to require only a minimum of human intervention. An important issue in Industry 4.0 is the evaluation of the quality of the process in terms of KPIs. Monte Carlo simulations can play an important role to improve the estimations. However, there is still a lack of clear workflow to conduct the Monte Carlo simulations for selecting different Monte Carlo methods. This paper, therefore, proposes a simulation flow for conducting Monte Carlo methods comparison in Industry 4.0 applications. Based on the simulation flow, we compare Cumulative Monte Carlo and Markov Chain Monte Carlo methods. The experimental results show the way to use the Monte Carlo methods in Industry 4.0 and possible limitations of the two simulation methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference on Systems, Man, and Cybernetics (SMC'22)

  • ISBN

    9781665452588

  • ISSN

    1062-922X

  • e-ISSN

    2577-1655

  • Number of pages

    6

  • Pages from-to

    242-247

  • Publisher name

    IEEE

  • Place of publication

    Not specified

  • Event location

    Prague, Czech Republic

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article