Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems

Lu, Jinzhi; Zheng, Xiaochen; Gharaei, Ali; Kalaboukas, Kostas; Kiritsis, Dimitris

doi:10.1007/978-3-030-46212-3_7

Cited by 51 publications

(27 citation statements)

References 19 publications

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“…The CDT profile is all about its status, behavioural model, specifications and associated models. It is the basic model of the CDT, which can be realized using a Knowledge Graph-centric framework [22] addressing: (i) the underlying processes where the DT is part of; (ii) ontologies supporting the semantics and syntax; (iii) APIs with analytics and optimization services that support the whole cognition process (see Section 3).…”

Section: Profilementioning

confidence: 99%

“…The CDT provides such a view to relate their outcomes among different CDTs, learn how UP and UU events affect the physical counterpart, taking cognition abilities to a higher abstraction level. CDTs address how to enhance cognition over time by providing means to improve a specific model through knowledge gathered from past UP and UU events or relating different types of knowledge that are introduced to the CDT or emerge from different models or components present in a DT [21,22].…”

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confidence: 99%

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

et al. 2021

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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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Section: Profilementioning

confidence: 99%

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confidence: 99%

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

et al. 2021

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“…The term as accepted today embraces more broadly the technological, organizational, economical, and societal changes driven by enhanced digitalization of manufacturing industry [30]. Digital Twin, acting as a mirror of the real world, provides a means of simulating, predicting, and optimizing physical manufacturing systems and processes [31][32][33]. Using the digital twin, together with intelligent algorithms, organizations can achieve data-driven operation monitoring and optimization, develop innovative product and services, and diversify value creation, business models and building information modelling (BIM) [34][35][36].…”

Section: Literature Reviewmentioning

confidence: 99%

Global Challenges of Digital Transformation of Markets: Collaboration and Digital Assets

et al. 2021

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Cyber-physical system (CPS) and digital twin (DT) technologies are the key enablers of smart manufacturing. The main idea of CPS is to build bi-directional interaction channels between the physical and cyber worlds. The research gap is ontological consideration of the concept of the digital object (DO) as a representation of a physical object (PO) in the digital space/world. The objective of this study is an ontological analysis of the digital object (DO). This object is fairly well-understood from a technical point of view; although there are many options for its definition, its basic composition and functionality are defined clearly, but currently in the economic science DO has not yet been enough considered. The DO, which first appeared as a digital twin has not been properly explored by economic science. Authors attempt to determine whether all the properties and characteristics of the DO are described by modern economic language or whether there is a need to introduce new concepts and categories to describe such objects. The ontological analysis of the DO within the existing conceptual framework of economic science is presented. The result of the research is comprehensive study of DO which allows the consideration of the additional benefits that economic actors can gain from using the DO. We propose to analyze the DO in terms of such economic categories as goods; innovation process; the system of division of labor; the role of market participants in the creation and use of the DO; intellectual property; etc.

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“…The CDT profile is all about its status, behavioural model, specifications and associated models. It is the basic model of the CDT, which can be realized using a Knowledge Graphcentric framework [26] addressing: i) the underlying processes where the DT is part of; ii) ontologies supporting the semantics and syntax; iii) APIs with analytics and optimization services that support the whole cognition process (see section 3).…”

Section: Profilementioning

confidence: 99%

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

Kalaboukas¹,

Rožanec²,

Košmerlj³

et al. 2021

Preprint

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Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. 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. 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.

show abstract

Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems

Cited by 51 publications

References 19 publications

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

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

Global Challenges of Digital Transformation of Markets: Collaboration and Digital Assets

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

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