Optimising the implementation of BIM: A 2-stage stochastic programming approach

No Thumbnail Available
File version
Author(s)
Hong, Ying
Hammad, Ahmed WA
Nezhad, Ali Akbar
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location
License
Abstract

A challenge faced by contractors attempting to implement Building Information Modelling (BIM) is deciding on the functions that BIM needs to be implemented for, along with the associated level of development (LOD). This study proposes a 2-stage stochastic optimisation model for planning the BIM implementation at the strategic level for organisations. The proposed approach accounts for learning curve effects associated with acquiring BIM skills and the uncertain demand for BIM usage due to other emerging technologies. The results indicated that BIM implementation can reduce the technology costs by up to 200%, in contrast to not implementing BIM; however, organisations are likely to experience a 5% cost increment at the beginning until 50 learning cycles. The proposed method is designed to assist decision-makers on whether BIM should be implemented at their firms, and if so, what functions to implement and what LOD to associate with developed models.

Journal Title

Automation in Construction

Conference Title
Book Title
Edition
Volume

136

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Science & Technology

Technology

Construction & Building Technology

Engineering, Civil

Engineering

Persistent link to this record
Citation

Hong, Y; Hammad, AWA; Nezhad, AA, Optimising the implementation of BIM: A 2-stage stochastic programming approach, Automation in Construction, 2022, 136, pp. 104170

Collections