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COGNIMAN Digital Twin Architecture for Flexible Manufacturing

Abstract

Despite recent progresses in smart manufacturing, existing architectures often fail to meet the comprehensive demands of modern manufacturing environments, such as flexibility, scalability, and seamless human-machine interaction. The COGNitive Industries for smart MANufacturing (COGNIMAN) architecture addresses these gaps by integrating advanced technologies with a focus on human-centric design. This article introduces COGNIMAN architecture as an essential pillar for Industry 5.0, enhancing operational efficiency through continuous monitoring, real-time data analysis, and predictive insights powered by machine learning. Its modular design optimizes resource utilization, reduces waste, and improves energy efficiency, aligning with eco-conscious manufacturing trends. By integrating sensors, robotics, digital twins, simulation, and AI, COGNIMAN offers a flexible, resilient, and sustainable platform adaptable to various manufacturing processes. The novelty of COGNIMAN architecture lies in its comprehensive approach, addressing key requirements such as flexibility, interoperability, maintainability, and adaptability. It fosters inclusive and safer working environments while supporting sustainable manufacturing practices. A case study in glass fiber manufacturing demonstrates COGNIMAN’s architecture applicability across different fields, enhancing the global competitiveness of European technology and manufacturing sectors.

Category

Academic article

Language

English

Author(s)

Affiliation

  • SINTEF Industry / Process Technology
  • SINTEF Digital / Sustainable Communication Technologies
  • France
  • NORCE Research AS
  • Andre institusjoner

Date

12.06.2025

Year

2025

Published in

Journal of Intelligent Manufacturing

ISSN

0956-5515

View this publication at Norwegian Research Information Repository