Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

被引:19
|
作者
Eirinakis, Pavlos [1 ]
Lounis, Stavros [2 ]
Plitsos, Stathis [1 ]
Arampatzis, George [3 ]
Kalaboukas, Kostas [4 ]
Kenda, Klemen [5 ]
Lu, Jinzhi [6 ]
Rozanec, Joze M. [7 ]
Stojanovic, Nenad [8 ]
机构
[1] Univ Piraeus, Lab Prod Management Informat Syst, Dept Ind Management & Technol, Karaoli & Dimitriou 80, Piraeus 18534, Greece
[2] Athens Univ Econ & Business, ELTRUN E Business Res Ctr, Dept Management Sci & Technol, Patiss 76, Athens 10434, Greece
[3] Tech Univ Crete, Sch Prod Engn & Management, Khania 73100, Greece
[4] Grp Maggioli Greek Branch, 19 Andrea Papandreou Str, Maroussi 15124, Greece
[5] Qlector Doo, Rovsnikova 7, Ljubljana 1000, Slovenia
[6] EPFL SCI STI DK, Stn 9, CH-1015 Lausanne, Switzerland
[7] Jozef Stefan Int Postgrad Sch, Jamova 39, Ljubljana 1000, Slovenia
[8] Nissatech, Cara Dusana 58, Nish 18000, Serbia
基金
欧盟地平线“2020”;
关键词
digital twin; cognitive manufacturing; resilient manufacturing; industry; 4; 0; ISO; 23247; optimization; simulation; knowledge graph; PREDICTIVE MAINTENANCE;
D O I
10.3390/info13010033
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:15
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