Current benefits and future possibilities with digital field reporting
Artikel i vetenskaplig tidskrift, 2024

Mobile phones and tablets enable contractors to digitally collect large amounts of production remarks and facilitate the acquisition. The increased data access and machine learning techniques allow the construction industry to take a significant step forward in shifting from implicit to explicit knowledge. However, this step requires both standardisation and data quality assurance combined with project incitements ensuring continuous data collection. Therefore, this study examines the current data quality and standardisation of inspection data generated using the production software Dalux Field, mining a dataset of more than 95000 production issues. Additionally, a survey of production software users assesses project and project member benefits and future possibilities with digital inspection reporting. The results show considerable benefits with digital inspection reporting, such as time savings, cost reductions and increased general quality control. However, the standardisation in reporting between projects and team members is low. Finally, this paper suggests methods for improving data quality and standardization for automation of the data analysis, allowing new projects in project-based organisations to benefit from previous project experiences.

Inspections

digitalisation

quality

field-reporting

Författare

[Person b842ac5b-c8b9-4921-8e03-c13f931c817a not found]

Chalmers, Arkitektur och samhällsbyggnadsteknik, Construction Management

[Person c01a6339-ef71-4bf3-bee1-72cf7af82462 not found]

J3M AB

[Person 49a992c2-bbdc-45db-8d42-c27113865410 not found]

Göteborgs universitet

[Person 2f332cc5-15bc-47b4-95e6-32c9a4fe5489 not found]

NCC AB

[Person 8391d54f-866d-46eb-9ecf-422cf29ec8a6 not found]

Chalmers, Arkitektur och samhällsbyggnadsteknik, Konstruktionsteknik

[Person a2c6704e-cc6d-4ad8-b1aa-36a1f15dda73 not found]

Chalmers, Arkitektur och samhällsbyggnadsteknik, Construction Management

International Journal of Construction Management

15623599 (eISSN)

Vol. In Press

Data och produktionsstyrd projektering med hjälp av artificiell intelligens

NCC AB, 2021-01-11 -- 2023-05-31.

(13949), 2021-01-11 -- 2023-05-31.

Ämneskategorier (SSIF 2011)

Annan samhällsbyggnadsteknik

DOI

10.1080/15623599.2024.2340923

Mer information

Senast uppdaterat

2024-05-06