English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Received: 15 April 2020 Accepted: 3 August 2020 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.

Improving Productivity by the Automation of Checking of 3D Parametric Modelling