Improving productivity by the automation of checking of 3D parametric modelling

Article

Warren, D. and Saleeb, N. 2020. Improving productivity by the automation of checking of 3D parametric modelling. International Journal of Safety and Security Engineering. 10 (4), pp. 441-450. https://doi.org/10.18280/ijsse.100402
TypeArticle
TitleImproving productivity by the automation of checking of 3D parametric modelling
AuthorsWarren, D. and Saleeb, N.
Abstract

The development of object-based 3D modelling based on Industry Foundation Class (IFC) has given rise to the possibility of computer-based interpretable models and the automation of checking based on rules. Past studies suggest that professionals within the industry have low confidence in the quality of design data, and consequently, there is an over-reliance on manual checking. This study aims to examine the application of automatic checking in industry and opportunities to improve productivity by automation. It identifies a means to improve the quality of data and available checking software, albeit with poor interoperability. The study indicates a quality system that can be applied to the generation of checking rules and a method to improve productivity of automatic checking by using the principles of Dataflow.

Keywords3D-model, automatic, BIM, checking, parametric, productivity, quality, rule-based
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
PublisherInternational Information and Engineering Technology Association
JournalInternational Journal of Safety and Security Engineering
ISSN2041-9031
Electronic2041-904X
Publication dates
Print31 Aug 2020
Publication process dates
Deposited10 Oct 2022
Submitted15 Apr 2020
Accepted03 Aug 2020
Output statusPublished
Publisher's version
Copyright Statement

Warren, D.R., Saleeb, N. (2020). Improving productivity by the automation of checking of 3D parametric modelling. International Journal of Safety and Security Engineering, Vol. 10, No. 4, pp. 441-450. https://doi.org/10.18280/ijsse.100402. The original publication is available also at http://www.iieta.org

Digital Object Identifier (DOI)https://doi.org/10.18280/ijsse.100402
LanguageEnglish
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