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Intelligent buildin...
Intelligent building contract tendering - potential and exploration
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- Cusumano, Linda, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Saraiva, Ricardo Alencar, 1984 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Rempling, Rasmus, 1976 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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visa fler...
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- Jockwer, Robert, 1984 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Olsson, Nilla (författare)
- Nordic Construction Company AB - NCC
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- Granath, Mats, 1972 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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(creator_code:org_t)
- Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2022
- 2022
- Engelska.
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Ingår i: IABSE Symposium Prague, 2022: Challenges for Existing and Oncoming Structures - Report. - Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE). ; , s. 1902-1909
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://research.cha...
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https://gup.ub.gu.se...
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https://doi.org/10.2...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Byggproduktion (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Construction Management (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Digitalization
- client requirements
- text extraction
- production data
- data-driven decisions
- artificial intelligence
- tender phase
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)