Using digital twins for managing change in complex projects Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2402.00325
Complex systems are not entirely decomposable, hence interdependences arise at the interfaces in complex projects. When changes occur, significant risks arise at these interfaces as it is hard to identify, manage and visualise the systemic consequences of changes. Particularly problematic are the interfaces in which there are multiple interdependencies, which occur where the boundaries between design components, contracts and organisation coincide, such as between design disciplines. In this paper, we propose an approach to digital twin-based interface management, through an underpinning state-of-the-art review of the existing technical literature and a small pilot to identify the characteristics of future data-driven solutions. We set out an approach to digital twin-based interface management and an agenda for research on advanced methodologies for managing change in complex projects. This agenda includes the need to integrate work on identifying systems interfaces, change propagation and visualisation, and the potential to significantly extend the limitations of existing solutions by using developments in the digital twin, such as linked data, semantic enrichment, network analyses, natural language processing (NLP)-enhanced ontology and machine learning.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2402.00325
- https://arxiv.org/pdf/2402.00325
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391505473
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391505473Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2402.00325Digital Object Identifier
- Title
-
Using digital twins for managing change in complex projectsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-02-01Full publication date if available
- Authors
-
Jennifer Whyte, Ranjith K. Soman, Rafael Sacks, Neda Mohammadi, Nader Naderpajouh, Wei-Ting Hong, Ghang LeeList of authors in order
- Landing page
-
https://arxiv.org/abs/2402.00325Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2402.00325Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2402.00325Direct OA link when available
- Concepts
-
Business, Process management, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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