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research article

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks-An Operational Model

Kalaboukas, Kostas
•
Rozanec, Joze
•
Kosmerlj, Aljaz
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May 1, 2021
Applied Sciences-Basel

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become "cognitive", i.e., able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of cognitive digital twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. More emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.

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Type
research article
DOI
10.3390/app11094103
Web of Science ID

WOS:000649890000001

Author(s)
Kalaboukas, Kostas
Rozanec, Joze
Kosmerlj, Aljaz
Kiritsis, Dimitris  
Arampatzis, George
Date Issued

2021-05-01

Published in
Applied Sciences-Basel
Volume

11

Issue

9

Article Number

4103

Subjects

Chemistry, Multidisciplinary

•

Engineering, Multidisciplinary

•

Materials Science, Multidisciplinary

•

Physics, Applied

•

Chemistry

•

Engineering

•

Materials Science

•

Physics

•

agile supply chains

•

cognitive digital twin

•

cognitive supply chains

•

cognitive manufacturing

Note

This is an Open Access article under the terms of the Creative Commons Attribution License

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LICP  
Available on Infoscience
June 5, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178629
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