Title: A BIM-based framework for construction project scheduling risk management

Authors: F.H. Abanda; A.M. Musa; P. Clermont; J.H.M. Tah; A.H. Oti

Addresses: Department of Real Estate and Construction, Faculty of Technology, Design and Environment, Oxford Institute for Sustainable Development, Oxford Brookes University, Oxford, OX3 0BP, UK ' Department of Real Estate and Construction, Faculty of Technology, Design and Environment, Oxford Institute for Sustainable Development, Oxford Brookes University, Oxford, OX3 0BP, UK ' Laboratoire Génie de Production, Ecole Nationale d'Ingénieurs de Tarbes 47, Avenue Azereix, BP 1629, F-65016 Tarbes Cedex, France ' Department of Real Estate and Construction, Faculty of Technology, Design and Environment, Oxford Institute for Sustainable Development, Oxford Brookes University, Oxford, OX3 0BP, UK ' Department of Real Estate and Construction, Faculty of Technology, Design and Environment, Oxford Institute for Sustainable Development, Oxford Brookes University, Oxford, OX3 0BP, UK

Abstract: The management of risks has been at the heart of most construction projects. Building information modelling (BIM) provides opportunities to manage risks in construction projects. However, studies about the use of BIM in risk management are sketchy with a lack of a systematic approach in using BIM for managing risk in construction projects. Based on existing risk models, this study investigated and developed a BIM-based framework for the management of construction project scheduling risk. Although, the frameworks were developed by mining risk management processes from Synchro and Vico, both being amongst leading 4D/5D BIM software systems, they can inform risk management in BIM projects that are supported by 4D/5D BIM software systems that contain risk management modules. The frameworks were validated for their syntactic and semantic correctness.

Keywords: BIM; building information modelling; construction projects; risk; Synchro; Vico; 4D/5D BIM; Bizagi; scheduling software; process model; risk management software.

DOI: 10.1504/IJCAET.2020.105575

International Journal of Computer Aided Engineering and Technology, 2020 Vol.12 No.2, pp.182 - 218

Received: 02 Nov 2016
Accepted: 18 Sep 2017
Published online: 05 Mar 2020 *

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