TY - GEN
T1 - Using Digital Twins for Managing Change in Complex Projects
AU - Whyte, Jennifer
AU - Soman, Ranjith K.
AU - Sacks, Rafael
AU - Mohammadi, Neda
AU - Naderpajouh, Nader
AU - Hong, Wei Ting
AU - Lee, Ghang
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Complex systems are not entirely decomposable; hence, interdependencies 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 research agenda 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.
AB - Complex systems are not entirely decomposable; hence, interdependencies 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 research agenda 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.
KW - Managing change
KW - digital twin
KW - interface management
KW - semantic enrichment
UR - http://www.scopus.com/inward/record.url?scp=105003626978&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-4051-5_150
DO - 10.1007/978-981-96-4051-5_150
M3 - منشور من مؤتمر
SN - 9789819640508
T3 - Lecture Notes in Civil Engineering
SP - 1575
EP - 1582
BT - Proceedings of the International Conference on Smart and Sustainable Built Environment, SASBE 2024
A2 - GhaffarianHoseini, Ali
A2 - Ghaffarianhoseini, Amirhosein
A2 - Rahimian, Farzad
A2 - Babu Purushothaman, Mahesh
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference of Sustainable Development and Smart Built Environments, SDSBE 2024
Y2 - 7 November 2024 through 9 November 2024
ER -