Cognitive digital twins for resilience in production: a conceptual frameworkCognitive digital twins for resilience in production: a conceptual framework Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2023-09-192022enThis research was funded by the H2020 FACTLOG project, which has received funding from the European Union’s Horizon 2020 programme under grant agreement No. 869951.Digital Twins (DTs) are a core enabler of Industry 4.0 in manufacturing. Cognitive Digital Twins (CDTs), as an evolution, utilize services and tools towards enabling human-like cognitive capabilities in DTs. This paper proposes a conceptual framework for implementing CDTs to support resilience in production, i.e., to enable manufacturing systems to identify and handle anomalies and disruptive events in production processes and to support decisions to alleviate their consequences. Through analyzing five real-life production cases in different industries, similarities and differences in their corresponding needs are identified. Moreover, a connection between resilience and cognition is established. Further, a conceptual architecture is proposed that maps the tools materializing cognition within the DT core together with a cognitive process that enables resilience in production by utilizing CDTs.http://creativecommons.org/licenses/by/4.0/Information131Eirinakis_et_al_Information_13(1)_2022.pdfChania [Greece]Library of TUC2023-09-19application/pdf923.6 kBfree Eirinakis Pavlos Lounis Stavros Plitsos Stathis Arampatzis Georgios Αραμπατζης Γεωργιος Kalaboukas Kostas Kenda Klemen Lu Jinzhi Rožanec, Jože Martin Stojanovic Nenad MDPI Digital twin Cognitive manufacturing Resilient manufacturing Industry 4.0 ISO 23247 Optimization Simulation Knowledge graph