Identification and Evaluation of the Key Decision Support Factors for Selecting Off-site Construction in Canada: A Building Information Modeling (BIM)-enabled Approach

Authors

  • Amirhossein Mehdipoor Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada
  • Ivanka Iordanova Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada https://orcid.org/0000-0002-4596-2604
  • Mohamed Al-Hussein Department of Civil and Environmental Engineering, University of Alberta, Canada https://orcid.org/0000-0002-1774-9718

DOI:

https://doi.org/10.37256/dmt.3220232944

Keywords:

OSC, OSM, decision support system , success factors

Abstract

The construction industry lags behind other sectors in terms of productivity performance, with many megaprojects experiencing cost overruns. While there are various reasons for this, the most significant one is the lack of efficiency. Adopting the off-site construction (OSC) methodology can improve productivity by enhancing project efficiency mainly in terms of time, cost and quality. Although OSC, off-site manufacturing (OSM), Industrialized Building System (IBS), prefabrication, modular, or other similar terms are not novel concepts, it is essential to shift any aspect of construction project activity from traditional onsite methods to a controlled, factory-based and manufacturing concept of production. Industrialization and digital fabrication have gained significant prominence in recent years, as they are perceived as a viable solution to the issues faced by the construction sector. As OSC is gradually gaining interest in building projects, it is crucial to identify and validate the key decision support factors (KDSFs) for selecting an appropriate OSC method from the early design stage. The purpose of this study is to identify, verify, and evaluate the KDSF for selecting OSC in Canada. This study utilized a mixed-methods design, comprising a systematic literature review (SLR) and pilot expert reviews through semi-structured interviews and surveys, to accomplish the research objectives and ensure the validity and reliability of the findings. Twelve interviews were conducted to validate and analyze the KDSFs, which were then prioritized using the mean score (MS) analysis and weighting function. Based on the research methodology, 32 KDSFs were validated and grouped into 7 'dimensions'. Further analysis concluded that the most important 'dimension' in selecting OSC for a building project in Canada is project time which consists of the design period, production time, mobilization and transfer time, as well as the assembly, and construction periods.

Author Biographies

Amirhossein Mehdipoor, Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada

 

 

Ivanka Iordanova, Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada

 

 

Mohamed Al-Hussein, Department of Civil and Environmental Engineering, University of Alberta, Canada

 

 

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Published

2023-10-06

How to Cite

1.
Mehdipoor A, Iordanova I, Al-Hussein M. Identification and Evaluation of the Key Decision Support Factors for Selecting Off-site Construction in Canada: A Building Information Modeling (BIM)-enabled Approach. Digit. Manuf. Technol. [Internet]. 2023 Oct. 6 [cited 2024 May 21];3(2):137-55. Available from: https://ojs.wiserpub.com/index.php/DMT/article/view/2944