Document Type

Conference Paper

Publication Date

2021

DOI

10.46354/i3m.2021.emss.062

Publication Title

33rd European Modeling & Simulation Symposium

Conference Name

Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021)

Abstract

This article provides a theoretical contribution to the state-of-the-art of digital twins for manufacturing and logistics systems. The primary goal of this paper is to draw attention to the gap between the theoretical framework of digital twins in manufacturing and supply chain and their practical implementation from a simulation modeling point of view. Therefore, highlighting the recent innovations in the simulation practice that could provide the basis for digital twins with high levels of data integration, automation, and smart capabilities. This study follows a comparative approach to analyzing theoretical and technical readiness for developing digital twins with high fidelity and computational power. The methodology is based on a benchmarking analysis that aims to identify the current state of the art from a theoretical and a practical standpoint.

Rights

© 2021 The Authors.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-Noncommercial-Noderivatives 4.0 International (CC-BY-NC-ND) license.

Original Publication Citation

Longo F., Padovano A., Nicoletti L., Elbasheer M., Diaz R. (2021). Digital twins for manufacturing and logistics systems: is simulation practice ready?. Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021), pp. 435-442. DOI: https://doi.org/10.46354/i3m.2021.emss.062

ORCID

0000-0002-8637-5967 (Diaz)

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