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...

Full description

Bibliographic Details
Main Authors: Otthein Herzog, Matthias Jarke, Siegfried Zhiqiang Wu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sci
Subjects:
Online Access:https://www.mdpi.com/2413-4155/5/4/44
_version_ 1797379463195918336
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.
first_indexed 2024-03-08T20:23:36Z
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
work_keys_str_mv AT ottheinherzog cooperatingandcompetingdigitaltwinsforindustrie40inurbanplanningcontexts
AT matthiasjarke cooperatingandcompetingdigitaltwinsforindustrie40inurbanplanningcontexts
AT siegfriedzhiqiangwu cooperatingandcompetingdigitaltwinsforindustrie40inurbanplanningcontexts