TY - CONF TI - Application of Fuzzy Logic for Selection of Off-Site Construction Approach C1 - Lille, France C3 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) SP - 802 EP - 811 PY - 2023 DO - 10.24928/2023/0224 AU - Mehdipoor, Amirhossein AU - Iordanova, Ivanka AU - Al-Hussein, Mohamed AD - Ph.D. Student, Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada, amirhossein.mehdipoor.1@ens.etsmtl.ca, https://orcid.org/0000-0002-9889-2478 AD - Professor, Department of Construction Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada, ivanka.iordanova@etsmtl.ca, https://orcid.org/0000-0002-4596-2604 AD - Professor, Department of Civil and Environmental Engineering, University of Alberta, Canada, malhussein@ualberta.ca, https://orcid.org/0000-0002-1774-9718 AB - Compared to other industries, the construction sector has poor productivity performance. Many megaprojects in this industry incur cost overruns, and this is largely due to inefficiencies. Although there are several reasons for these inefficiencies, the most significant factor is the lack of efficiency. One effective solution to improve productivity in construction projects is to adopt Off-site construction (OSC) methodology, which enhances efficiency. The construction method selection is an important exercise toward the productivity and success of a building project. This exercise is particularly critical during the early stages of a building project, as it is important for decision makers to consider all criteria and make a prompt decision. The use of off-site construction (OSC) is gaining popularity in building projects. Therefore, assessing the most relevant and key success factors in this context is necessary. Multiple Criteria Decision Making (MCDM) techniques have been widely used in the construction management domain. These are being applied as a medium for decision-making purposes in the construction sector. One of the most frequent methods is Fuzzy Logic to select an option among different alternatives based on a ranking system. In this paper, Fuzzy logic was applied to evaluate and rank the performance of two alternatives i.e. conventional method of on-site construction cast in situ works and Off-site construction steel structure fully modular approach. This project forms part of a Ph.D. research program which aims to develop a Two-Stage BIMLean Decision Support System (DSS) for the selection of a suitable Industrial Building System (IBS). The proposed DSS development consists of two main steps: 1) Identification and evaluation of Key Decision Support Factors (KDSF) for the selection of the OSC approach and 2) Choosing an appropriate IBS for a building project. This paper focuses on the second step where fuzzy logic is applied to rank and select the appropriate alternative. A decision maker was provided with a list of Key Decision Support Factors (KDSF), which had been validated by industry experts, to input data and measure the importance and performance of each alternative. Crisp scores calculated using a fuzzy model indicated the rank of each alternative. The highest score of alternatives indicates the best approach. The result shows that alternative B – Off-site construction Steel Structure Modular approach, is the better option KW - Off-site construction KW - Fuzzy Logic KW - Decision Making. PB - T2 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) DA - 2023/06/26 CY - Lille, France L1 - http://iglc.net/Papers/Details/2156/pdf L2 - http://iglc.net/Papers/Details/2156 N1 - Export Date: 03 April 2025 DB - IGLC.net DP - IGLC LA - English ER -