A five-step approach to planning data-driven digital twins for discrete manufacturing systems

Resman, Matevž (author), Protner, Jernej (author), Šimic, Marko (author), Herakovič, Niko (author)

A digital twin of a manufacturing system is a digital copy of the physical manufacturing system that consists of various digital models at multiple scales and levels. Digital twins that communicate with their physical counterparts throughout their lifecycle are the basis for data-driven factories. The problem with developing digital models that form the digital twin is that they operate with large amounts of heterogeneous data. Since the models represent simplifications of the physical world, managing the heterogeneous data and linking the data with the digital twin represent a challenge. The paper proposes a five-step approach to planning data-driven digital twins of manufacturing systems and their processes. The approach guides the user from breaking down the system and the underlying building blocks of the processes into four groups. The development of a digital model includes predefined necessary parameters that allow a digital model connecting with a real manufacturing system. The connection enables the control of the real manufacturing system and allows the creation of the digital twin. Presentation and visualization of a system functioning based on the digital twin for different participants is presented in the last step. The suitability of the approach for the industrial environment is illustrated using the case study of planning the digital twin for material logistics of the manufacturing system.

• Language: English
• Keywords: data-driven factory, digital model, digital twin, modelling, discrete-event simulation
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 25 str.
• Numbering: Vol. 11, iss. 8, art. 3639
• PID: 20.500.12556/RUL-135308
• UDC: 004.942:658.2(045)
• ISSN on article: 2076-3417
• DOI: 10.3390/app11083639
• COBISS.SI-ID: 61630723
• Publication date in RUL: 07.03.2022

RESMAN, Matevž, PROTNER, Jernej, ŠIMIC, Marko and HERAKOVIČ, Niko, 2021, A five-step approach to planning data-driven digital twins for discrete manufacturing systems. Applied sciences [online]. 2021. Vol. 11, no. 8,  3639. [Accessed 19 March 2025]. DOI 10.3390/app11083639. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=135308

Record is a part of a journal

• Title: Applied sciences
• Shortened title: Appl. sci.
• Publisher: MDPI
• ISSN: 2076-3417
• COBISS.SI-ID: 522979353

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 18.04.2021

Secondary language

• Language: Slovenian
• Keywords: podatkovno gnana tovarna, digitalni model, digitalni dvojček, modeliranje, simulacija diskretnih dogodkov

Projects

• Funder: Other - Other funder or multiple funders
• Funding programme: Republic of Slovenia, Ministry of Education, Science and Sport
• Project number: OP20.00361
• Acronym: GOSTOP

• Funder: EC - European Commission
• Funding programme: European Regional Development Fund
• Acronym: GOSTOP