Analyzing the Building Information Modeling (BIM) – Level of Implementation of BIM Software among Quantity Surveyors

Heng, See Cheng (2023) Analyzing the Building Information Modeling (BIM) – Level of Implementation of BIM Software among Quantity Surveyors. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Building Information Modeling (BIM) is the compound of modeling techniques and an associated set of processes to generate, communicate and analyze digital information for construction objectives. It is not just software but an integrated method of human activity to create a digital representation of the physical and practical characteristics of a building by the adoption of relevant software. The growth of BIM is because of the efficiency advantages in terms of cost and time saving and enhances coordination within the information exchange. Therefore, BIM will be one of the most momentous tools for future construction projects in Malaysia. Despite the implementation rate of BIM showing a rising trend in the construction industry globally, the implementation rate of BIM in the Malaysian construction industry is still at an early stage on a scale of 0 to 1. Based on the aspect of quantity surveying, the implementation of BIM could provide several advantages such as reducing the time for cost estimation in addition to developing smooth coordination and information between parties within the construction projects. Despite all these advantages being well known, the adoption rate of BIM is still low because this technology challenges the traditional role of quantity surveyors and the organizational culture. Hence, in this study, a questionnaire had been prepared for obtaining the data and the target group of respondents is the people that are currently working in quantity surveying firms. in order to highlight the goals of this research, the Statistical Package for the Social Sciences (SPSS) and Microsoft Excel are utilized for the analysis. The gathered information will be analyzed using statistical techniques like Garrett ranking method, frequency analysis, and descriptive statistics in table forms or bar charts to indicate the percentage for the necessary comparison between the variables. In conclusion, this study can help to promote the adoption of BIM software in quantity surveying firms.