Understanding design change propagation in complex engineering systems using a digital twin and design structure matrix
Understanding design change propagation in complex engineering systems using a digital twin and design structure matrix
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DOI：
10.1108/ecam-08-2020-0615
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发表时间：
2021-07-06
影响因子：
4.1
通讯作者：
Whyte, Jennifer
中科院分区：
文献类型：
--
作者：
Chen, Long;Whyte, Jennifer
随着工程设计过程变得越来越复杂，多学科团队需要协同工作，整合各种学科模型的不同专业知识。当变化出现时，由于工程系统固有的复杂性和相互依赖性，这些设计团队经常发现很难处理这些设计变化。本文旨在开发一种基于数字双驱动设计结构矩阵（DSM）的创新方法来阐明复杂工程系统中系统相互依赖关系，并在资产层面预测设计变更传播。本文首先从元素和相互依赖的角度定义了数字孪生驱动的DSM，其中作者在资产层面定义了三种类型的相互依赖，即地理空间、物理和逻辑。然后将数字孪生模型用于生成复杂工程系统的大规模需求决策模型。进一步基于改进的Idicula-Gutierrez-Thebeau算法（IGTA-Plus）进行聚类分析，将这些dsm分解为模块，方便和高效地预测设计变更传播。最后，将设计变更预测方法（CPM）、承载能力模型和模糊语言学相结合，提出了一种基于数字孪生驱动的设计变更传播预测方法。伦敦一个大型基础设施项目的一部分被选为案例研究，以说明和验证开发的方法。数字孪生驱动的DSM已被空间代数和产业基础类（IFC）模式正式定义。在此基础上，进一步发展了一种创新方法：(1)通过使用IFC文件自动生成数字孪生驱动的DSM；(2)通过使用IGTA-Plus将这些大规模DSM分解为模块；(3)通过集成数字孪生驱动的DSM、CPM、负载能力模型和模糊语言学来预测设计变更的传播。实例分析表明，该方法可以帮助设计人员定量、方便地预测和管理设计变更。本研究为设计变更管理提供了DSM和数字孪生体的新视角，有助于设计师在改变复杂工程系统的设计时做出合理的决策。
Purpose As the engineering design process becomes increasingly complex, multidisciplinary teams need to work together, integrating diverse expertise across a range of disciplinary models. Where changes arise, these design teams often find it difficult to handle these design changes due to the complexity and interdependencies inherent in engineering systems. This paper aims to develop an innovative approach to clarifying system interdependencies and predicting the design change propagation at the asset level in complex engineering systems based on the digital-twin-driven design structure matrix (DSM). Design/methodology/approach The paper first defines the digital-twin-driven DSM in terms of elements and interdependencies, where the authors have defined three types of interdependency, namely, geospatial, physical and logical, at the asset level. The digital twin model was then used to generate the large-scale DSMs of complex engineering systems. The cluster analysis was further conducted based on the improved Idicula-Gutierrez-Thebeau algorithm (IGTA-Plus) to decompose such DSMs into modules for the convenience and efficiency of predicting design change propagation. Finally, a design change propagation prediction method based on the digital-twin-driven DSM has been developed by integrating the change prediction method (CPM), a load-capacity model and fuzzy linguistics. A section of an infrastructure mega-project in London was selected as a case study to illustrate and validate the developed approach. Findings The digital-twin-driven DSM has been formally defined by the spatial algebra and Industry Foundation Classes (IFC) schema. Based on the definitions, an innovative approach has been further developed to (1) automatically generate a digital-twin-driven DSM through the use of IFC files, (2) to decompose these large-scale DSMs into modules through the use of IGTA-Plus and (3) predict the design change propagation by integrating a digital-twin-driven DSM, CPM, a load-capacity model and fuzzy linguistics. From the case study, the results showed that the developed approach can help designers to predict and manage design changes quantitatively and conveniently. Originality/value This research contributes to a new perspective of the DSM and digital twin for design change management and can be beneficial to assist designers in making reasonable decisions when changing the designs of complex engineering systems.