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The new industrial revolution has introduced digital twins as a cutting-edge technology that promises huge potential for bringing added value in smart industries. However, a generic and adaptable digital twin architecture is critically needed to meet the evolution requirements. A number of existing studies have proposed different architectures for designing digital twins. However, significant challenges remain in conceiving and deploying a scalable and reliable digital twin architecture in industrial systems. Considering this, how can we move towards an architecture that enables (1) real-time data collection and exchange between the physical world and the digital world, (2) real-time monitoring, (3) advanced analysis, (4) dynamic planning and adaptability, (5) automated execution, and (6) supporting human in decision-making processes? The main objective of this study is to develop a generic—to the extent possible- and adaptable digital twin architecture, designed using the MAPE-K framework combined with the holonic paradigm. This proposition is illustrated with two case studies from two different fields, healthcare and manufacturing, in order to demonstrate its capabilities.

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Towards a Digital Twin Architecture Based on MAPE-K Framework and Holonic Paradigm: Application to an Emergency Department and Smart Manufacturing Cases Studies

  • 会议论文

  • 发表日期：

    2025年

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  • Abir Ismaili-Aoui,
  • Emmanuel Zimmermann,
  • Yinling Liu,
  • Guillaume Demesure,
  • Hind Bril el Haouzi

摘要

The new industrial revolution has introduced digital twins as a cutting-edge technology that promises huge potential for bringing added value in smart industries. However, a generic and adaptable digital twin architecture is critically needed to meet the evolution requirements. A number of existing studies have proposed different architectures for designing digital twins. However, significant challenges remain in conceiving and deploying a scalable and reliable digital twin architecture in industrial systems. Considering this, how can we move towards an architecture that enables (1) real-time data collection and exchange between the physical world and the digital world, (2) real-time monitoring, (3) advanced analysis, (4) dynamic planning and adaptability, (5) automated execution, and (6) supporting human in decision-making processes? The main objective of this study is to develop a generic—to the extent possible- and adaptable digital twin architecture, designed using the MAPE-K framework combined with the holonic paradigm. This proposition is illustrated with two case studies from two different fields, healthcare and manufacturing, in order to demonstrate its capabilities.