Data-driven and production-oriented tendering design using artificial intelligence
Paper in proceeding, 2024
labour intense. Therefore, this research project explores possibilities to automate the requirement
analysis 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 language
processing techniques for automation possibilities. The second part of the research explores
production data as a data-driven verification method and how the data can be used in knowledge
feedback loops. The results show that applying natural language processing techniques for analysing
construction project requirements is a possible step towards systematic requirements
management. Furthermore, production data can be used as a knowledge base for quality
improvement in construction companies.
knowledge
NLP
verifications
production-data
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
Construction's Role for a World in Emergency
107-114
978-3-85748-204-5 (ISBN)
Manchester, United Kingdom,
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.
Areas of Advance
Production
Subject Categories
Construction Management
Software Engineering
Building Technologies