Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts
Digital twins are emerging as a prime analysis, prediction, and control concepts for enabling the Industrie 4.0 vision of cyber-physical production systems (CPPSs). Today’s growing complexity and volatility cannot be handled by monolithic digital twins but require a fundamentally decentralized parad...
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Format: | Article |
Language: | English |
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MDPI AG
2023-11-01
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Series: | Sci |
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Online Access: | https://www.mdpi.com/2413-4155/5/4/44 |
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author | Otthein Herzog Matthias Jarke Siegfried Zhiqiang Wu |
author_facet | Otthein Herzog Matthias Jarke Siegfried Zhiqiang Wu |
author_sort | Otthein Herzog |
collection | DOAJ |
description | Digital twins are emerging as a prime analysis, prediction, and control concepts for enabling the Industrie 4.0 vision of cyber-physical production systems (CPPSs). Today’s growing complexity and volatility cannot be handled by monolithic digital twins but require a fundamentally decentralized paradigm of cooperating digital twins. Moreover, societal trends such as worldwide urbanization and growing emphasis on sustainability highlight competing goals that must be reflected not just in cooperating but also competing digital twins, often even interacting in “coopetition”. This paper argues for multi-agent systems (MASs) to address this challenge, using the example of embedding industrial digital twins into an urban planning context. We provide a technical discussion of suitable MAS frameworks and interaction protocols; data architecture options for efficient data supply from heterogeneous sensor streams and sovereignty in data sharing; and strategic analysis for scoping a digital twin systems design among domain experts and decision makers. To illustrate the way still in front of research and practice, the paper reviews some success stories of MASs in Industrie/Logistics 4.0 settings and sketches a comprehensive vision for digital twin-based holistic urban planning. |
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format | Article |
id | doaj.art-f5b06520d31843f68b10204e1f40df0a |
institution | Directory Open Access Journal |
issn | 2413-4155 |
language | English |
last_indexed | 2024-03-08T20:23:36Z |
publishDate | 2023-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Sci |
spelling | doaj.art-f5b06520d31843f68b10204e1f40df0a2023-12-22T14:39:51ZengMDPI AGSci2413-41552023-11-01544410.3390/sci5040044Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning ContextsOtthein Herzog0Matthias Jarke1Siegfried Zhiqiang Wu2College of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaDatabases and Information Systems, Rheinisch-Westfaelische Hochschule Aachen, 52056 Aachen, GermanyCollege of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaDigital twins are emerging as a prime analysis, prediction, and control concepts for enabling the Industrie 4.0 vision of cyber-physical production systems (CPPSs). Today’s growing complexity and volatility cannot be handled by monolithic digital twins but require a fundamentally decentralized paradigm of cooperating digital twins. Moreover, societal trends such as worldwide urbanization and growing emphasis on sustainability highlight competing goals that must be reflected not just in cooperating but also competing digital twins, often even interacting in “coopetition”. This paper argues for multi-agent systems (MASs) to address this challenge, using the example of embedding industrial digital twins into an urban planning context. We provide a technical discussion of suitable MAS frameworks and interaction protocols; data architecture options for efficient data supply from heterogeneous sensor streams and sovereignty in data sharing; and strategic analysis for scoping a digital twin systems design among domain experts and decision makers. To illustrate the way still in front of research and practice, the paper reviews some success stories of MASs in Industrie/Logistics 4.0 settings and sketches a comprehensive vision for digital twin-based holistic urban planning.https://www.mdpi.com/2413-4155/5/4/44multi-agent systemsdigital twindata architectureIndustrie 4.0Logistics 4.0digital transformation strategy |
spellingShingle | Otthein Herzog Matthias Jarke Siegfried Zhiqiang Wu Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts Sci multi-agent systems digital twin data architecture Industrie 4.0 Logistics 4.0 digital transformation strategy |
title | Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts |
title_full | Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts |
title_fullStr | Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts |
title_full_unstemmed | Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts |
title_short | Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts |
title_sort | cooperating and competing digital twins for industrie 4 0 in urban planning contexts |
topic | multi-agent systems digital twin data architecture Industrie 4.0 Logistics 4.0 digital transformation strategy |
url | https://www.mdpi.com/2413-4155/5/4/44 |
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