Monte Carlo Methods for Industry 4.0 Applications

KOSTKA, Petr, Bruno ROSSI and 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, p. 242-247. ISBN 978-1-6654-5258-8. Available from: https://dx.doi.org/10.1109/SMC53654.2022.9945553.

Basic information

• Original name: Monte Carlo Methods for Industry 4.0 Applications
• Authors: KOSTKA, Petr (203 Czech Republic, belonging to the institution), Bruno ROSSI (380 Italy, guarantor, belonging to the institution) and Mouzhi GE (156 China).
• Edition: Not specified, International Conference on Systems, Man, and Cybernetics (SMC'22), p. 242-247, 6 pp. 2022.
• Publisher: IEEE

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10200 1.2 Computer and information sciences
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• RIV identification code: RIV/00216224:14330/22:00126184
• Organization unit: Faculty of Informatics
• ISBN: 978-1-6654-5258-8
• ISSN: 1062-922X
• Doi: http://dx.doi.org/10.1109/SMC53654.2022.9945553
• Keywords in English: Industry 4.0; Monte Carlo Simulations; MCMC; MC
• Tags: firank_A
• Tags: International impact, Reviewed

Abstract

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.

Links

• CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU(CEP code: EF16_019/0000822): Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

• EF16_019/0000822, research and development project: Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur