Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/E82355B2-32A1-45D2-B6B1-B21A0C9BAEA2 | ||
| Year | 2024 | ||
| Type of Item | Doctoral Dissertation | ||
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| Bibliographic Citation | Konstantinos Kalampoukas, "Α methodological framework for digital-Twin driven cognitive manufacturing in the context of connected and agile value networks", Doctoral Dissertation, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.101787 | ||
| Appears in Collections |
Value network 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 value networks to become “cognitive”, i.e., to able to predict trends and to be flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DT) are a promising technology, and a lot of work is done on the factory level. Additionally, the term “Cognitive Digital Twins” (CDTs) gets more attention as it encapsulates the cognition capabilities of a digital twin of which the analytics and AI services are realized. However, when it comes to the adoption of CDTs in value networks there is little work and development on how we can model value network digital twins, which are the main capability and benefits, and how we are ensuring trust and good practices for operation. Furthermore, in the era of interconnected value networks, we need to define a roadmap with configuration principles, for any ICT solution that aims to incorporate features for various sectors. This thesis addresses the above considerations by elaborating on the following research principles:a) A reference framework for modelling value network CDTs as a network of inter-connected CDTs, each one representing the involved stakeholders and the materials/products that are flown across the network.b) A reference governance framework for value network CDTs integrating three different views: - business and sustainability,- data governance and - cognition (AI) model governance.c) A reference ICT architecture, which provides main functions and usage scenarios for the operation of the value network CDT.
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