Intelligent building contract tendering - potential and exploration
Paper in proceeding, 2022

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.

Digitalization

client requirements

text extraction

production data

data-driven decisions

artificial intelligence

tender phase

Author

Linda Cusumano

Chalmers, Architecture and Civil Engineering, Structural Engineering

Ricardo Alencar Saraiva

Chalmers, Architecture and Civil Engineering, Structural Engineering

Rasmus Rempling

Chalmers, Architecture and Civil Engineering, Structural Engineering

Robert Jockwer

Chalmers, Architecture and Civil Engineering, Structural Engineering

Nilla Olsson

NCC AB

Mats Granath

University of Gothenburg

IABSE Symposium Prague, 2022: Challenges for Existing and Oncoming Structures - Report

1902-1909
9783857481833 (ISBN)

IABSE Symposium Prague 2022: Challenges for Existing and Oncoming Structures
Prague, Czech Republic,

Data-informed design with the help of artificial intelligence

NCC Building Sweden, 2021-01-11 -- 2023-05-31.

Development Fund of the Swedish Construction Industry (SBUF) (13949), 2021-01-11 -- 2023-05-31.

Subject Categories

Other Computer and Information Science

Civil Engineering

Information Science

More information

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1/3/2024 9