Fuzzy modelling of the critical failure factors for modular integrated construction projects

Ibrahim Yahaya Wuni, Geoffrey Qiping Shen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number121595
JournalJournal of Cleaner Production
Volume264
DOIs
Publication statusPublished - 10 Aug 2020

Keywords

  • Critical failure factors
  • Fuzzy modelling
  • Modular integrated construction
  • Projects

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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