Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/211836
Title: DIGITAL TWIN IN SINGAPORE’S CONSTRUCTION INDUSTRY: STATUS QUO, DRIVERS, BARRIERS AND STRATEGIES
Authors: TAN YU ZHEN
Keywords: Digital Twin
IoT
Sensors
Drivers
Barriers
Strategies
Construction industry
Singapore
Issue Date: 6-Dec-2021
Citation: TAN YU ZHEN (2021-12-06). DIGITAL TWIN IN SINGAPORE’S CONSTRUCTION INDUSTRY: STATUS QUO, DRIVERS, BARRIERS AND STRATEGIES. ScholarBank@NUS Repository.
Abstract: Construction 4.0 encompasses a central notion involving the bi-directional connection between real and digital realms via the Digital Twin (DT), which enhances productivity and management of built assets’ lifecycles. Given DT’s infancy within the construction sector, understanding its use and the drivers, barriers, and strategies are necessary to promote a paradigm shift towards this novel approach. Through the lens of Singapore’s construction sector, this study seeks to identify DT’s enabling tools, applications, key implementation processes, and investigate its status quo, perceived extent of benefits, drivers, barriers, and strategies towards DT implementation among different groups of respondent’s designations and years of experience, organisation’s types, sectors, and years of experience. In attaining the objectives, 24 drivers, 25 barriers and 23 strategies identified from literature and pilot interviews were included in a survey and disseminated for data collection. Analyses of 91 survey responses were conducted to ascertain differences in perceived significance of drivers, barriers, strategies for DT adoption. Status quo and perceived extent of DT benefits were also examined. Thereafter, post-interviews with industry professionals and 2 local case studies were explored to validate and substantiate survey analysis. The study established that the current DT implementation is at a relatively low rate of 17.1%, although it is envisaged to increase. Benefits are largely concurred to be greatest at the industry level than project or organisation level. The top 3 drivers to DT implementation are “ease of information retrieval”, “data availability”, and “government mandates and initiatives towards BIM and DT” and the top 3 barriers are “cost pressures”, “lack of 3D models and data”, and “uncertainty in the economic returns”. This study advocates a concerted strategic effort between the government, industry, and organisations with top 3 strategies identified as “senior management support towards investments in technology and infrastructure”, “clear objectives and expected outcomes from client”, and “financial subsidies”. Significant differences in perceived drivers, barriers, and strategies for different groups were discussed. Findings will redound to DT’s knowledge base and equip practitioners with meaningful knowledge and recommendations for achieving an intensive and prevalent DT adoption within the construction sector.
URI: https://scholarbank.nus.edu.sg/handle/10635/211836
Appears in Collections:Bachelor's Theses

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