Data-driven and production-oriented tendering design using artificial intelligence
Paper in proceeding, 2024

Construction projects are facing an increase in requirements, making requirement managementlabour intense. Therefore, this research project explores possibilities to automate the requirementanalysis in the bidding phase and link these requirements to verifications in the production phase.The first part of the research targets the requirement analysis and applies natural languageprocessing techniques for automation possibilities. The second part of the research exploresproduction data as a data-driven verification method and how the data can be used in knowledgefeedback loops. The results show that applying natural language processing techniques for analysingconstruction project requirements is a possible step towards systematic requirementsmanagement. Furthermore, production data can be used as a knowledge base for qualityimprovement in construction companies.

production-data

verifications

NLP

knowledge

requirements

Author

Linda Cusumano

Chalmers, Architecture and Civil Engineering, Construction Management

Robert Jockwer

Chalmers, Architecture and Civil Engineering, Structural Engineering

Rasmus Rempling

Chalmers, Architecture and Civil Engineering, Construction Management

Nilla Olsson

NCC Building Sweden

Mats Granath

Institution of physics at Gothenburg University

IABSE Symposium Manchester 2024: Construction's Role for a World in Emergency

107-114
978-3-85748-204-5 (ISBN)

IABSE Symposium Manchester 2024: Construction's Role for a World in Emergency
Manchester, United Kingdom,

Data-informed design with the help of artificial intelligence

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

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

Subject Categories

Design

Construction Management

Economics

Software Engineering

Building Technologies

Areas of Advance

Production

More information

Latest update

8/27/2024