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Intelligent building contract tendering – potential and exploration

 Intelligent building contract tendering – potential and exploration
Auteur(s): , , ORCID, ,
Présenté pendant IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022, publié dans , pp. 1902-1909
DOI: 10.2749/prague.2022.1902
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Project tendering is the construction business “Tightrope-walking.” It is a time-limited balance act where technical and business specialists find the best technical proposal at the right price. Th...
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Détails bibliographiques

Auteur(s): (Chalmers University of Technology, Gothenburg, Sweden)
(Chalmers University of Technology, Gothenburg, Sweden)
ORCID (Chalmers University of Technology, Gothenburg, Sweden)
(Chalmers University of Technology, Gothenburg, Sweden)
(NCC Sweden AB, Malmoe, Sweden)
(University of Gothenburg, Gothenburg, Sweden)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022
Publié dans:
Page(s): 1902-1909 Nombre total de pages (du PDF): 8
Page(s): 1902-1909
Nombre total de pages (du PDF): 8
DOI: 10.2749/prague.2022.1902
Abstrait:

Project tendering is the construction business “Tightrope-walking.” It is a time-limited balance act where technical and business specialists find the best technical proposal at the right price. The purpose and aim of this study were to explore artificial intelligence (AI) in the tender work and to identify challenges and possibilities with data-driven decision-making. An AI work support tool was adopted and used to extract and process client requirements. The tool and digital-work procedure were presented and discussed with tender specialists from a large contractor in a workshop. A two- step survey was performed in connection to the workshop, investigating the potential users’ insights and attitudes for implementation. The main result and conclusion were that AI and digitalization could support tendering; however, successfully generating business value will require higher levels of digitalization, well-structured databases, and access to historical project data.

Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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