{"id":13332,"date":"2022-10-26T10:41:55","date_gmt":"2022-10-26T08:41:55","guid":{"rendered":"https:\/\/www.aitem.org\/?p=13332"},"modified":"2023-05-16T14:58:17","modified_gmt":"2023-05-16T12:58:17","slug":"nternational-journal-of-computer-integrated-manufacturing%e2%80%8b-special-issue-on-digital-twins-for-smart-production-and-logistics-deadline-31st-december-2022","status":"publish","type":"post","link":"https:\/\/www.aitem.org\/en\/nternational-journal-of-computer-integrated-manufacturing%e2%80%8b-special-issue-on-digital-twins-for-smart-production-and-logistics-deadline-31st-december-2022\/","title":{"rendered":"International Journal of Computer Integrated Manufacturing\u200b Special Issue on Digital Twins for Smart Production and Logistics Deadline: 31st December 2022"},"content":{"rendered":"
Visit the homepage and submit an article<\/span><\/a><\/strong><\/span><\/div>\n

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Guest Editors:<\/span><\/strong><\/p>\n

Andrea Matta, Politecnico di Milano, Italy<\/span><\/p>\n

George Huang, University of Hong Kong, Hong Kong<\/span><\/p>\n

Paulo Leitao, Instituto Politecnico de Bragan\u00e7a, Portugal<\/span><\/p>\n

Elisa Negri, Politecnico di Milano, Italy. Email:\u00a0elisa.negri@polimi.it<\/a><\/span><\/p>\n

\u200b<\/span><\/span><\/p>\n

Aims & Scope
\nCyber-Physical Systems (CPS) are populating smart factories, concretizing the vision brought forward by the
\nIndustry 4.0 transition. They are composed of a physical and a virtual side, interacting with each other. Digital
\nTwins (DT) are a core element in the virtual side of the manufacturing CPS, offering a synchronized mirroring
\nof a physical production asset or system to enable advanced decisional support. DT promise to bring benefits,
\nthroughout the lifecycle to support the design, development, operations, maintenance, reconfiguration and
\nimprovement of production systems. DT are discussed for the envisioned capabilities to monitor, predict and
\noptimize performance, considering field synchronization and smart and sustainable manufacturing needs. In
\nthis perspective, many are the opportunities and challenges for research, and this Special Issue aims to unveil
\nthe novelty brought by DT for a productive and sustainable production. Original contributions are expected
\nto address DT applications, modelling approaches, lifecycle methodologies, and technologies to support their
\ndeployment in manufacturing contexts featuring different automation levels, including fully automated,
\nsemi-manual and fully manual production systems, and autonomy levels ranging from shop floor to remote
\nmanufacturing. Ethical aspects and requirements for trustworthiness may be considered to cover issues
\nrelated to the human-in-the-loop in CPS with DT. Finally, DT modeling may address CPS resilience and self-adaptation to face critical threats in manufacturing.<\/span><\/p>\n

Overall, the Special Issue welcomes original contributions related, but not limited, to the following topics:<\/span><\/p>\n