A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Digital Twin Implications to Project Decision-Making
Digital technologies have a critical role in defining the future state of our industries and their environment footprint on our planet. While the Architecture Engineering Construction Operation & Facility Management (AECO-FM) projects leaves a long-lasting impact on our environment, the digital technology-driven opportunities are significant. Amongst others, Digital Twin (DT) is one cutting edge technology that has characteristics to transform AECO-FM industry project work, as well as could increase the environmental sustainability of the project outcomes. Hence this research aims to explore how deploying such capabilities can support the decision-making process, and how project decisions could be made rational by eliminating human bias. Because the real-time model with such abilities will power the people to focus on the decisions with enhanced observation and implementing the best alternatives keeping in view the AECO-FM project’s life-cycle. Specially, this research explores implications of Digital Twin for project decision-making. This research deploys case study research strategy with an inductive approach to collect data from two case companies in AECO-FM industry. Data was collected via semi-structured interviews (5), World Wide Web about case company projects, case company reports about environmental sustainability targets and strategies, as well as project-specific documents which were provided by the interviewees. The qualitative analysis of the data was conducted with a constructivist approach. The findings of the research confirm that case companies get the environmental sustainability benefits by assisting project decision making through digital twin (i) by making information available real time, (ii) conducting predictive analysis, and (iii) providing data-driven best alternatives with a life-cycle standpoint. This is helping the project personnel to make more holistic decisions while prioritizing environmental sustainability in the decisions. Meanwhile, findings also highlight that DT maturity ...
Digital Twin Implications to Project Decision-Making
Digital technologies have a critical role in defining the future state of our industries and their environment footprint on our planet. While the Architecture Engineering Construction Operation & Facility Management (AECO-FM) projects leaves a long-lasting impact on our environment, the digital technology-driven opportunities are significant. Amongst others, Digital Twin (DT) is one cutting edge technology that has characteristics to transform AECO-FM industry project work, as well as could increase the environmental sustainability of the project outcomes. Hence this research aims to explore how deploying such capabilities can support the decision-making process, and how project decisions could be made rational by eliminating human bias. Because the real-time model with such abilities will power the people to focus on the decisions with enhanced observation and implementing the best alternatives keeping in view the AECO-FM project’s life-cycle. Specially, this research explores implications of Digital Twin for project decision-making. This research deploys case study research strategy with an inductive approach to collect data from two case companies in AECO-FM industry. Data was collected via semi-structured interviews (5), World Wide Web about case company projects, case company reports about environmental sustainability targets and strategies, as well as project-specific documents which were provided by the interviewees. The qualitative analysis of the data was conducted with a constructivist approach. The findings of the research confirm that case companies get the environmental sustainability benefits by assisting project decision making through digital twin (i) by making information available real time, (ii) conducting predictive analysis, and (iii) providing data-driven best alternatives with a life-cycle standpoint. This is helping the project personnel to make more holistic decisions while prioritizing environmental sustainability in the decisions. Meanwhile, findings also highlight that DT maturity ...
Digital Twin Implications to Project Decision-Making
Farid, Amna (author)
2023-01-01
URN:NBN:fi:amk-2023052413925
Theses
Electronic Resource
English
DDC:
690
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