TY - JOUR
T1 - Fuzzy modelling of the critical failure factors for modular integrated construction projects
AU - Wuni, Ibrahim Yahaya
AU - Shen, Geoffrey Qiping
N1 - Funding Information:
This research was fully funded by the University Grants Committee of the Research Grants Council of Hong Kong and The Hong Polytechnic University under the Hong Kong PhD Fellowship Scheme ( PF17 - 00649 ).
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8/10
Y1 - 2020/8/10
N2 - Modular integrated construction (MiC) is a game-changing cleaner construction approach which improves construction project performances. For many types of buildings, MiC is increasingly becoming a preferred construction method. However, MiC projects have generated mixed outcomes; many of them encountered problems and even failed. Yet, there is limited knowledge of the reasons why MiC projects may fail. This research identified and evaluated 22 potential critical failure factors (CFFs) for MiC projects, based on a structured questionnaire survey with international experts. A mean score analysis showed that all the identified CFFs are significant factors causing MiC project failure. A structure detection analysis of the CFFs generated a 4-factor solution explaining about 72.34% of the total variance in the failure of MiC projects. The 4 principal failure factors (PFFs) for MiC projects comprise poor design and dimensional variability management, poor stakeholder and supply chain management, limited technical knowledge, capability and experience, and late commitment. A fuzzy modelling of the CFFs revealed that all the 4 PFFs are significant factors causing MiC project failure. The inclusive findings of the research have useful implications. Theoretically, the findings contribute to the useful checklist of generic CFFs for MiC projects. Practically, the research prioritized the CFFs, which may serve as a useful management-support in the implementation of MiC projects.
AB - Modular integrated construction (MiC) is a game-changing cleaner construction approach which improves construction project performances. For many types of buildings, MiC is increasingly becoming a preferred construction method. However, MiC projects have generated mixed outcomes; many of them encountered problems and even failed. Yet, there is limited knowledge of the reasons why MiC projects may fail. This research identified and evaluated 22 potential critical failure factors (CFFs) for MiC projects, based on a structured questionnaire survey with international experts. A mean score analysis showed that all the identified CFFs are significant factors causing MiC project failure. A structure detection analysis of the CFFs generated a 4-factor solution explaining about 72.34% of the total variance in the failure of MiC projects. The 4 principal failure factors (PFFs) for MiC projects comprise poor design and dimensional variability management, poor stakeholder and supply chain management, limited technical knowledge, capability and experience, and late commitment. A fuzzy modelling of the CFFs revealed that all the 4 PFFs are significant factors causing MiC project failure. The inclusive findings of the research have useful implications. Theoretically, the findings contribute to the useful checklist of generic CFFs for MiC projects. Practically, the research prioritized the CFFs, which may serve as a useful management-support in the implementation of MiC projects.
KW - Critical failure factors
KW - Fuzzy modelling
KW - Modular integrated construction
KW - Projects
UR - http://www.scopus.com/inward/record.url?scp=85083456833&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.121595
DO - 10.1016/j.jclepro.2020.121595
M3 - Journal article
AN - SCOPUS:85083456833
SN - 0959-6526
VL - 264
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 121595
ER -