Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/221716
Title: THE IMPACT OF BUILDING INFORMATION MODELING (BIM) ON THE JOB RESPONSIBILITIES OF THE QUANTITY SURVEYOR
Authors: WONG KUAN WEI
Keywords: Building
Project and Facilities Management
Teo Ai Lin Evelyn
2011/2012 PFM
BIM model checking software (BMCS)
Building information modeling (BIM)
Central data repository (CDR)
Quantity surveyor
Total cost management (TCM)
Issue Date: 8-Jun-2012
Citation: WONG KUAN WEI (2012-06-08). THE IMPACT OF BUILDING INFORMATION MODELING (BIM) ON THE JOB RESPONSIBILITIES OF THE QUANTITY SURVEYOR. ScholarBank@NUS Repository.
Abstract: Building Information Modeling (BIM) for the construction industry is developed to reduce the fragmentation and enhance the level of collaboration and cooperation between the different stakeholders in the project. In order to improve the productivity of the construction industry, the direction of the government is to fully implement BIM eSubmission for all Architectural and Engineering projects. The implementation of BIM has initiated changes to the job scope of the architect and engineers, who involved at early stages of the project. It is important to understand and recommend changes to the job scope of the Quantity Surveyors (QS), who are involved at the later stages of the project. This study focuses on examining the impact of BIM on the job scope of the QS and the introduction of the Central Data Repository (CDR), Total Cost Management (TCM) and BIM Model Checking Software (BMCS) to complement BIM. Literature reviews and questionnaire were used for this study to gather data and information. The questionnaires were sent out to SISV-registered QS and 48 sets of responses were collected. Significance tests were performed for the CDR, TCM and BMCS and found to have a significant impact on the job scope. The Pearson’s Correlation was used to examine the relationship between CDR, TCM and BMCS with the job scope at different stages of the project. Multiple regression analysis is done to develop a model to incorporate the CDR, TCM and BMCS into the job scope. The relatively low number of responses and lack of completed BIM projects for QS constituted to the limitation of this study. Factors are identified in priority of importance for the QS to adopt BIM and incorporate into their job scope.
URI: https://scholarbank.nus.edu.sg/handle/10635/221716
Appears in Collections:Bachelor's Theses

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