Le, P L; Dao, T M and Chaabane, A (2019) BIM-based framework for temporary facility layout planning in construction site: A hybrid approach. Construction Innovation, 19(3), pp. 424-464. ISSN 1471-4175
Abstract
Purpose: This paper aims to propose an innovative building information modelling (BIM)-based framework for multi-objective and dynamic temporary construction site layout design (SLD), which uses a hybrid approach of systematic layout planning (SLP) and mathematical modelling. Design/methodology/approach: The hybrid approach, which follows a step-by-step process for site layout planning, is designed to facilitate both qualitative and quantitative data collection and processing. BIM platform is usedto facilitate the determination of the required quantitative data, while the qualitative data are generated through knowledge-based rules. Findings: The multi-objective layout model represents two important aspects: layout cost and adjacency score. The result shows that the model meets construction managers’ requirements in not only saving cost but also assuring the preferences of temporary facility relationships. This implies that the integration of SLP and mathematical layout modelling is an appropriate approach to deliver practical multi-objective SLD solutions. Research limitations/implications: The proposed framework is expected to serve as a solution, for practical application, which takes the advantage of technologies in data collection and processing. Besides, this paper demonstrates, by using numerical experimentation and applying Microsoft Excel Solver for site layout optimisation, how to reduce the complexity in mathematical programming for construction managers. Originality/value: The original contribution of this paper is the attempt of developing a framework in which all data used for the site layout modelling are collected and processed using a systematic approach, instead of being predetermined, as in many previous studies.
Item Type: | Article |
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Uncontrolled Keywords: | BIM; construction site layout; cost modelling; knowledge-based reasoning; optimization; systematic layout planning |
Date Deposited: | 11 Apr 2025 14:28 |
Last Modified: | 11 Apr 2025 14:28 |