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

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

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.

• Jezik: Angleški jezik
• Ključne besede: data-driven factory, digital model, digital twin, modelling, discrete-event simulation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 25 str.
• Številčenje: Vol. 11, iss. 8, art. 3639
• PID: 20.500.12556/RUL-135308
• UDK: 004.942:658.2(045)
• ISSN pri članku: 2076-3417
• DOI: 10.3390/app11083639
• COBISS.SI-ID: 61630723
• Datum objave v RUL: 07.03.2022

Gradivo je del revije

• Naslov: Applied sciences
• Skrajšan naslov: Appl. sci.
• Založnik: MDPI
• ISSN: 2076-3417
• COBISS.SI-ID: 522979353

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 18.04.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: podatkovno gnana tovarna, digitalni model, digitalni dvojček, modeliranje, simulacija diskretnih dogodkov

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: Republic of Slovenia, Ministry of Education, Science and Sport
• Številka projekta: OP20.00361
• Akronim: GOSTOP

• Financer: EC - European Commission
• Program financ.: European Regional Development Fund
• Akronim: GOSTOP