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arXiv 2609.13071cs.SEcs.AIcs.HC

先参与后演进:可信企业数字孪生工程的愿景

Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering

Kérian Fiter, Adil Lagrou, Franck Dervault, Bentley Oakes

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中文总结 AI 辅助

提出“先参与后演进”的可信企业数字孪生工程愿景,通过快速原型吸引利益相关者,再演进至联邦互操作,结合基础模型、本体论和可观测性工具,并在米其林合作中验证。

中文摘要 AI 辅助

企业数字孪生(EDT)承诺在组织规模上提供数据驱动的决策支持,但实现这一目标需要跨越部门孤岛、隐性知识以及具有长期影响的高风险决策。现有方法在模型开发期间引入领域专家,但较少关注EDT早期组织层面的认同。我们提出一个基于“先参与后演进”范式的可信EDT工程愿景:在向联邦化和全面互操作性演进之前,通过工作原型快速吸引利益相关者参与。我们的三阶段方法结合了用于快速原型设计的基础模型、用于联邦互操作性的本体论骨干,以及用于利益相关者信任的可观测性工具。我们将这一愿景建立在与跨国制造商米其林的持续合作中,初步原型已帮助支持利益相关者的认同。

英文摘要

Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions with long-horizon consequences. Existing approaches involve domain experts during model development but focus less on early organizational buy-in in EDTs. We present a vision for trustworthy EDT engineering grounded in an `involving before evolving' paradigm: rapidly involving stakeholders through a working prototype before evolving toward federation and full interoperability. Our three-stage approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling for stakeholder trust. We ground our vision in an ongoing collaboration with Michelin, a multinational manufacturer, where an initial prototype has helped support stakeholder buy-in.

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