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<p>Cognitive Digital Twin (CDT) represents an emerging evolution of Digital Twin (DT) technology, integrating cognitive computing capabilities to enable autonomous learning, context awareness, and intelligent decision-making. While interest in manufacturing CDTs has attracted growing interest in manufacturing for enhancing adaptability and operational intelligence, current literature remains fragmented, with no comprehensive review of CDTs on their role in manufacturing resilience and sustainable manufacturing operations under the ISA-95 Manufacturing Operations Management (MOM) framework as a whole. To fill this gap, this paper examines CDT implementations in 135 papers together with 12 supplementary works across the 4 key MOM operations, identifying enabling technologies as well as their impact on sustainability under the Triple Bottom Line (TBL) framework. A CDT framework is proposed that builds on four core DT layers: Communication enhanced with perception, Representation enhanced with memory, and Computation enhanced with reasoning and learning, thus enabling contextual data processing, knowledge retention, semantic inference, and adaptive evolution. The review highlights research trends, technological advancements, and application gaps, offering a structured reference for researchers seeking to design and implement CDTs in complex, dynamic manufacturing environments in the future.</p>

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A state-of-the-art survey on cognitive digital twins for resilient and sustainable manufacturing

  • 期刊论文

  • 发表日期：

    2026年5月29日

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  • Yimou Pan,
  • Chun-Hsien Chen,
  • Kendrik Yan Hong Lim,
  • Tao Peng,
  • Kamal Youcef-Toumi

摘要

Cognitive Digital Twin (CDT) represents an emerging evolution of Digital Twin (DT) technology, integrating cognitive computing capabilities to enable autonomous learning, context awareness, and intelligent decision-making. While interest in manufacturing CDTs has attracted growing interest in manufacturing for enhancing adaptability and operational intelligence, current literature remains fragmented, with no comprehensive review of CDTs on their role in manufacturing resilience and sustainable manufacturing operations under the ISA-95 Manufacturing Operations Management (MOM) framework as a whole. To fill this gap, this paper examines CDT implementations in 135 papers together with 12 supplementary works across the 4 key MOM operations, identifying enabling technologies as well as their impact on sustainability under the Triple Bottom Line (TBL) framework. A CDT framework is proposed that builds on four core DT layers: Communication enhanced with perception, Representation enhanced with memory, and Computation enhanced with reasoning and learning, thus enabling contextual data processing, knowledge retention, semantic inference, and adaptive evolution. The review highlights research trends, technological advancements, and application gaps, offering a structured reference for researchers seeking to design and implement CDTs in complex, dynamic manufacturing environments in the future.