An Approach to Support Digital Process Twin

Published in DASC/PiCom/CBDCom/CyberSciTech, 2022

Recommended citation: F. Corradini, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. An Approach to Support Digital Process Twin. In: DASC/PiCom/CBDCom/CyberSciTech, 1-4, 2022 https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927841

Abstract

Nowadays, the digitalization of business processes goes hand in hand with the adoption of IoT and robotic systems for automating work activities, leading to the birth of new ways of representing organizational information, i.e. digital twins. However, interpreting the behavior of autonomous systems, especially those with several devices, and keeping track of their execution status can be very difficult even using ad-hoc simulators. Therefore, there is the need for a digital process twin representing, simulating, and visualizing systems’ behavior. In this regard, this work proposes an approach to support the digital process twins of autonomous systems by representing, simulating, and visualizing the system behavior. We demonstrate the benefits of the approach by applying it to a robotic scenario.


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Cite as: F. Corradini, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. An Approach to Support Digital Process Twin. In: DASC/PiCom/CBDCom/CyberSciTech, 1-4, 2022

@inproceedings{corradiniPRRT22,
author       = {Flavio Corradini and
                Sara Pettinari and
                Barbara Re and
                Lorenzo Rossi and
                Francesco Tiezzi},
title        = {An Approach to Support Digital Process Twin},
booktitle    = {IEEE Intl. Conf. on Dependable, Autonomic and Secure Computing,
                Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud
                and Big Data Computing, Intl Conf on Cyber Science and Technology
                Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, Falerna, Italy, September
                12-15, 2022},
pages        = {1--4},
publisher    = {IEEE},
year         = {2022},
}