Automated verification for collaborative workflows in a Digital Plan of Work

Benghi, Claudio (2019) Automated verification for collaborative workflows in a Digital Plan of Work. Automation in Construction, 107. p. 102926. ISSN 0926-5805

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Official URL: https://doi.org/10.1016/j.autcon.2019.102926

Abstract

This paper presents the rationale, strategy and development behind the Verification components of the UK Digital Plan of Work (DPoW), a large-scale interdisciplinary collaboration platform implemented to enhance collaborative Building Information Modelling (BIM) workflows. Construction enterprises currently organise their information exchanges through documents that are not suitable for the automation of quality assurance processes. The DPoW addresses this issue with the introduction of a documented collaboration format and a suite of associated verification libraries, available at no cost as open source packages. The resulting infrastructure has the potential to automate the management of information exchanges in multi-disciplinary construction projects, but its uptake may be impeded by known issues that affect the dynamics of technology adoption. The verification infrastructure has been designed to reduce the impact of these issues by providing immediate paths to adoption and enabling three levels of process feedback for sustainable incremental improvements, starting from the current maturity level. The research followed the Design Science Methodology and is presented in this paper progressing from the definition of goals and objectives to the presentation of the developed solution, ending with a summary of known limitations and areas of further development.

Item Type: Article
Uncontrolled Keywords: Digital plan of work, Model verification, Model checking, Interdisciplinary collaboration, COBie
Subjects: H200 Civil Engineering
H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Elena Carlaw
Date Deposited: 05 Sep 2019 10:24
Last Modified: 10 Oct 2019 15:33
URI: http://nrl.northumbria.ac.uk/id/eprint/40529

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