Monte Carlo Methods for Industry 4.0 Applications

D 2022

Monte Carlo Methods for Industry 4.0 Applications

KOSTKA, Petr; Bruno ROSSI a Mouzhi GE

Základní údaje

Originální název

Monte Carlo Methods for Industry 4.0 Applications

Autoři

KOSTKA, Petr; Bruno ROSSI a Mouzhi GE

Vydání

Not specified, International Conference on Systems, Man, and Cybernetics (SMC'22), od s. 242-247, 6 s. 2022

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/22:00126184

Organizační jednotka

Fakulta informatiky

ISBN

978-1-6654-5258-8

ISSN

DOI

https://doi.org/10.1109/SMC53654.2022.9945553

EID Scopus

2-s2.0-85142746380

Klíčová slova anglicky

Industry 4.0; Monte Carlo Simulations; MCMC; MC

Štítky

core_B, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 10. 3. 2023 17:40, doc. Bruno Rossi, PhD

Anotace

V originále

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.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

KOSTKA, Petr; Bruno ROSSI a Mouzhi GE. Monte Carlo Methods for Industry 4.0 Applications. Online. In International Conference on Systems, Man, and Cybernetics (SMC'22). Not specified: IEEE, 2022, s. 242-247. ISBN 978-1-6654-5258-8. Dostupné z: https://doi.org/10.1109/SMC53654.2022.9945553.

@inproceedings{1863710,
   author = {Kostka, Petr and Rossi, Bruno and Ge, Mouzhi},
   address = {Not specified},
   booktitle = {International Conference on Systems, Man, and Cybernetics (SMC'22)},
   doi = {https://doi.org/10.1109/SMC53654.2022.9945553},
   keywords = {Industry 4.0; Monte Carlo Simulations; MCMC; MC},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Not specified},
   isbn = {978-1-6654-5258-8},
   pages = {242-247},
   publisher = {IEEE},
   title = {Monte Carlo Methods for Industry 4.0 Applications},
   year = {2022}
}

TY  - CONF
ID  - 1863710
AU  - Kostka, Petr - Rossi, Bruno - Ge, Mouzhi
PY  - 2022
TI  - Monte Carlo Methods for Industry 4.0 Applications
PB  - IEEE
CY  - Not specified
SN  - 9781665452588
KW  - Industry 4.0
KW  - Monte Carlo Simulations
KW  - MCMC
KW  - MC
N2  - 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.
ER  -

KOSTKA, Petr; Bruno ROSSI a Mouzhi GE. Monte Carlo Methods for Industry 4.0 Applications. Online. In \textit{International Conference on Systems, Man, and Cybernetics (SMC'22)}. Not specified: IEEE, 2022, s.~242-247. ISBN~978-1-6654-5258-8. Dostupné z: https://doi.org/10.1109/SMC53654.2022.9945553.

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