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David J. Edwards
Researcher at Birmingham City University
Publications - 389
Citations - 10060
David J. Edwards is an academic researcher from Birmingham City University. The author has contributed to research in topics: Building information modeling & Computer science. The author has an hindex of 43, co-authored 329 publications receiving 6982 citations. Previous affiliations of David J. Edwards include Loughborough University & University of Birmingham.
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The building information modelling trajectory in facilities management: A review
TL;DR: There is a paucity of literature that examines building information modelling (BIM) for asset management within the architecture, engineering, construction and owner-operated (AECO) sector.
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Review of application of analytic hierarchy process (AHP) in construction
Amos Darko,Albert P.C. Chan,Ernest Effah Ameyaw,Emmanuel Kingsford Owusu,Erika Parn,David J. Edwards +5 more
TL;DR: It was revealed that risk management and sustainable construction were the most popular AHP application areas in CM and that AHP is flexible and can be used as a stand-alone tool or in conjunction with other tools to resolve construction decision-making problems.
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A seamless supply chain management model for construction
TL;DR: In this paper, a seamless project supply chain management (SCM) model is proposed that integrates the design and production processes of construction projects, and the proposed model is subjected to validation by a sample of industry practitioners and their comments are presented and reflected upon.
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Artificial intelligence in the AEC industry : scientometric analysis and visualization of research activities
Amos Darko,Albert P.C. Chan,Michael Atafo Adabre,David J. Edwards,M. Reza Hosseini,Ernest Effah Ameyaw +5 more
TL;DR: The first comprehensive scientometric study appraising the state of research on AI-in-the-AECI is presented, indicating that genetic algorithms, neural networks, fuzzy logic, fuzzy sets, and machine learning have been the most widely used AI methods in AEC.
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Risk/Reward Compensation Model for Civil Engineering Infrastructure Alliance Projects
TL;DR: In this article, the authors examined the influence of a risk/reward model on the behavior of project participants, and concluded that risk sharing is pivotal to obtaining a successful project outcome for the procurement of civil engineering infrastructure projects when using an alliance.