Potential Cost Savings Analysis of Building Information Modelling-Enabled Clash Detection
Building information modelling (BIM) has an established function in clash detection, yet its full potential remains underutilised in the construction industry. This underutilisation is due to the lack of an easy-to-follow guide for practitioners and a general lack of awareness regarding its cost-saving benefits. This article presents a case study demonstrating the application of BIM for clash detection and cost estimation. Revit was adopted to develop three-dimensional (3D) models for architectural and structural systems, while Navisworks was adopted to integrate these models and conduct clash detection. The Malaysian Standard Method of Measurement for Building Works Second Edition (SMM2) was referred to estimate the costs associated with clashes. As a result, 65 relevant clashes were identified in this case study. Categorising these clashes into major, medium and minor categories enabled the prioritisation of critical issues. The study revealed a substantial additional expenditure of MYR60,323.80 required to resolve all identified clashes. This finding underscores the importance of early clash detection to prevent budget overruns. This study contributes to the industry by providing a straightforward and reliable approach for detecting clashes and estimating costs in real-world projects. It also encourages wider adoption of BIM practices within the construction sector.
Authors
- Mohd Nashruddin Mohd Shah
- Tsu Yian Lee (ORCID: https://orcid.org/0000-0001-8747-9517)
- Mariah Awang (ORCID: https://orcid.org/0000-0003-4338-4043)
- Mohamed Bashir (ORCID: https://orcid.org/0000-0002-2292-2677)
- Faridahanim Ahmad (ORCID: https://orcid.org/0000-0002-9923-7934)
Publication Details
- Journal
- Journal of Construction in Developing Countries
- Published
- 2025-01-01
- DOI
- https://doi.org/10.21315/jcdc.2025.30.1.8
- Citations
- 1
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.95
Funders
- Universiti Teknologi Malaysia