A Project-Based Quantification of BIM Benefits

Author:

Li Jian1,Hou Lei2,Wang Xiangyu3,Wang Jun2,Guo Jun4,Zhang Shaohua5,Jiao Yi6

Affiliation:

1. East China Jiaotong University, China

2. Australasian Joint Research Centre for BIM, Curtin University, Australia

3. Curtin-Woodside Oil, Gas & LNG Construction and Project Management; Australasian Joint Research Centre for BIM, Curtin University, Australia; Department of Housing and Interior Design, Kyung Hee University, South Korea

4. CCDI Group, China

5. Shanghai Development Center of Computer Software Technology, China

6. Fudan University, China

Abstract

In the construction industry, research is being carried out to look for feasible methods and technologies to cut down project costs and waste. Building Information Modelling (BIM) is certainly currently a promising technology/method that can achieve this. The output of the construction industry has a considerable scale; however, the concentration of the industry and the level of informatization are still not high. There is still a large gap in terms of productivity between the construction industry and other industries. Due to the lack of first-hand data regarding how much of an effect can be genuinely had by BIM in real cases, it is unrealistic for construction stakeholders to take the risk of widely adopting BIM. This paper focuses on the methodological quantification (through a case study approach) of BIM's benefits in building construction resource management and real-time costs control, in contrast to traditional non-BIM technologies. Through the use of BIM technology for the dynamic querying and statistical analysis of construction schedules, engineering, resources and costs, the three implementations considered demonstrate how BIM can facilitate the comprehensive grasp of a project's implementation and progress, identify and solve the contradictions and conflicts between construction resources and costs controls, reduce project over-spends and protect the supply of resources.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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