loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Vinicius Barbosa 1 ; Rui Pinto 2 ; João Pinheiro 2 ; Gil Gonçalves 2 and Anabela Ribeiro 3

Affiliations: 1 Department of Electrical and Computer Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal ; 2 SYSTEC-ARISE, Faculty of Engineering of the University of Porto, Porto, Portugal ; 3 Continental Advanced Antenna, Sociedade Unipessoal, Lda., Vila Real, Portugal

Keyword(s): IEC 61499, Function Block Programming, Digital Twin Simulation, Cyber-Physical Production Systems.

Abstract: The Digital Twin concept refers to the virtual representation of physical assets and is an emerging technology in the I4.0 paradigm for digital transformation. Digital Twin integration with discrete-event simulation models is the key enabler to create digital models of real dynamic manufacturing systems. Usually, simulation alone does not support optimization and advanced analytics, especially considering the lack of real-time data from the physical system. One of the biggest challenges for manufacturers is to enable integration between simulation models and Digital Twin technology for real-time data exchange, such as monitoring and optimization of cycle times and reducing waste. The lack of standards to build the Digital Twin concept explains this issue. This study addresses this problem by proposing a communication interface between a Python-based Digital Twin (DINASORE) and a Java-based AnyLogic simulation model. DINASORE supports Function Blocks compliant with the IEC 61499 stand ard and external communication using OPC UA. Cycle time data is collected automatically by the Digital Twin in the Edge layer of the Cyber-Physical Production System and made available to the simulation model via OPC UA. Results show that it is possible to analyse the production process and propose optimizations in real-time. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.158.223

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Barbosa, V.; Pinto, R.; Pinheiro, J.; Gonçalves, G. and Ribeiro, A. (2023). Towards a Digital Twin Simulation for Cycle Times Analysis in a Cyber-Physical Production System. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-668-2; ISSN 2184-2841, SciTePress, pages 369-376. DOI: 10.5220/0012123100003546

@conference{simultech23,
author={Vinicius Barbosa. and Rui Pinto. and João Pinheiro. and Gil Gon\c{C}alves. and Anabela Ribeiro.},
title={Towards a Digital Twin Simulation for Cycle Times Analysis in a Cyber-Physical Production System},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2023},
pages={369-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012123100003546},
isbn={978-989-758-668-2},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Towards a Digital Twin Simulation for Cycle Times Analysis in a Cyber-Physical Production System
SN - 978-989-758-668-2
IS - 2184-2841
AU - Barbosa, V.
AU - Pinto, R.
AU - Pinheiro, J.
AU - Gonçalves, G.
AU - Ribeiro, A.
PY - 2023
SP - 369
EP - 376
DO - 10.5220/0012123100003546
PB - SciTePress