Data-driven and production-oriented tendering design using artificial intelligence

Paper i 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.