The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches

Doukari, Omar, Seck, Boubacar and Greenwood, David (2022) The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches. Buildings, 12 (8). p. 1145. ISSN 2075-5309

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Building Information Modelling (BIM) is now a globally recognised phenomenon, though its adoption remains inconsistent and variable between and within the construction sectors of different countries. BIM technology has enabled a wide range of functional applications, one of which, ‘4D BIM’, involves linking the tasks in a project’s construction schedule to its object-orientated 3D model to improve the logistical decision making and delivery of the project. Ideally, this can be automatically generated but in reality, this is not currently possible, and the process requires considerable manual effort. The level of maturity and expertise in the use of BIM amongst the project participants still varies considerably; adding further obstacles to the ability to derive full benefits from BIM. Reflecting these challenges, two case studies are presented in this paper. The first describes a predominantly manual approach that was used to ameliorate the implementation of 4D BIM on a project in Paris. In fact, there is scope for automating the process: a combination of BIM and Artificial Intelligence (AI) could exploit newly-available data that are increasingly obtainable from smart devices or IoT sensors. A prerequisite for doing so is the development of dedicated ontologies that enable the formalisation of the domain knowledge that is relevant to a particular project typology. Perhaps the most challenging example of this is the case of renovation projects. In the second case study, part of a large European research project, the authors propose such an ontology and demonstrate its application by developing a digital tool for application within the context of deep renovation projects.

Item Type: Article
Additional Information: Funding information: Funding: This work was funded by the European Union’s Horizon 2020 Research and Innovation Programme through the RINNO project (https://RINNO‐ accessed on 1 August 2022 [103,104]) under Grant Agreement Number 892071.
Uncontrolled Keywords: 4D BIM; construction scheduling; project planning; building renovation; automation; ontology; artificial intelligence; lean methodology
Subjects: G700 Artificial Intelligence
H300 Mechanical Engineering
K200 Building
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Elena Carlaw
Date Deposited: 02 Aug 2022 11:09
Last Modified: 02 Aug 2022 11:09

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