商业航空航天OEM行业数字孪生实现的成熟度模型

Francisco Gomez Medina, Annika Wollermann Umpierrez, V. Martínez, H. Fromm
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引用次数: 6

摘要

数字和计算技术的最新进展越来越多地使原始设备制造商(oem)能够创建其产品的数字“活”副本,通常被称为数字双胞胎(dt)。这个概念与商业航空航天工业(CAI) oem特别相关,它们的业务模型严重依赖于高质量的服务交付,了解每个单独产品的状态可以转化为节省数百万美元的成本。然而,尽管关于一个完整的、理想化的DT的规范已经发生了广泛的争论,但关于实现这一概念所需的过程和关键决策的讨论相对较少。这使得经理和执行者很难设计实施他们的dt的策略,也很难理解哪里需要改进或者哪里存在竞争优势。本工作旨在通过开发CAI oem中DT实现的10维成熟度模型来缓解这一差距。采用设计科学的研究方法,系统地推导了这些维度及其相应的成熟度水平。提出了一种新的成熟度维的推导框架。成熟度模型将有助于CAI oem中的行业从业者,他们正在寻求对自己的dt进行基准测试或制定实现策略。对于学术界来说,这个成熟度模型推进了关于情境DT实施过程的讨论。最后,通过提出的成熟度维度派生框架,对成熟度模型开发文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Maturity Model for Digital Twin Implementations in the Commercial Aerospace OEM Industry
The latest advancements in digital and computational technologies are increasingly enabling original equipment manufacturers (OEMs) to create digital ‘living’ replicas of their products, commonly referred to as Digital Twins (DTs). This concept is especially relevant for Commercial Aerospace Industry (CAI) OEMs, whose business models rely heavily on high-quality service delivery, and learning about the status of each individual product could translate to cost savings of the order of millions of dollars. However, while extensive debate has taken place about the specifications of a complete, idealized DT, there is comparatively little discussion about the process and key decisions necessary for implementing such concept. This makes it difficult for managers and executives to devise strategies for implementing their DTs, as well as understanding where improvement is needed or where a competitive advantage exists. This work seeks to alleviate that gap through the development of a 10-dimension maturity model for DT implementations in CAI OEMs. Using a design science research methodology, the dimensions and their corresponding maturity levels are derived systematically. A novel framework for the derivation of maturity dimensions is presented as well. The maturity model will be helpful to industry practitioners in CAI OEMs who are seeking to benchmark their own DTs or develop an implementation strategy. For academics, this maturity model advances discussions about contextual DT implementation processes. Finally, a contribution is made to the maturity model development literature through the proposed maturity dimension derivation framework.
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