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Evaluating a Digital Twin Concept for an Automatic Up-to-Date Factory Layout Setup
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV AB. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-7985-0010
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV AB. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-7232-9353
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2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 473-484Conference paper, Published paper (Refereed)
Abstract [en]

Today, manufacturing factory layout setups are most often manually designed and kept up-to-date during their lifecycle with computer-aided design software’s, so that analyses, verification simulations, and decisions can continuously be done. This manual approach is a cumbersome iterative process to collect the necessary information, with a high risk of faulty inputs and updates. Often the virtual descriptions do not match the physical version of the factory setup. This research presents a digital twin solution where physical equipment is connected to a virtual representation of the same equipment and automatically updates the virtual environment with the spatial position of the physical equipment and a proposed way to evaluate it. The physical equipment either has inbuilt sensors or has been equipped with external wireless sensors to track the spatial position. The metadata are distributed via Node-RED (a tool to visualize Internet of Things) to the simulation software Industrial Path Solutions, where the virtual equipment is repositioned based on data from the physical equipment. The result shows that it is possible to send spatial position information from a physical equipment and update the corresponding virtual description of the equipment in its virtual environment. The accuracy of the updates has been evaluated with manual measurements. Hence, the virtual environment of the factory setup, i.e., the digital twin, updates automatically based on the data sent by the physical equipment. With an up-to-date virtual environment, more accurate simulations and optimizations of the factory setup can be achieved. Examples of such possibilities are to evaluate ergonomic conditions or to optimize robot paths for robot cells in realistic and up-to-date virtual environments. Also, one could imagine making virtual reality visits to hazardous or sensitive factory environments in a safe way or studying things that otherwise would be hard or impossible in the real world. 

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022. p. 473-484
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords [en]
Digital Twin, Automatic, Factory Layout Setup
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; User Centred Product Design; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-21091DOI: 10.3233/ATDE220166Scopus ID: 2-s2.0-85132844772ISBN: 978-1-64368-268-6 (print)ISBN: 978-1-64368-269-3 (electronic)OAI: oai:DiVA.org:his-21091DiVA, id: diva2:1654818
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Funder
Knowledge Foundation
Note

CC BY-NC 4.0

Andreas Lind [andreas.lind@scania.com]

This research was realized with the support of Scania CV AB’s Global Industrial Development and the VF-KDO profile (Virtual Factories with Knowledge-Driven Optimization) at the University of Skövde, funded by the Knowledge Foundation. 

Available from: 2022-04-28 Created: 2022-04-28 Last updated: 2022-09-07Bibliographically approved

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Lind, AndreasHögberg, DanSyberfeldt, AnnaHanson, Lars

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