Published November 30, 2023 | Version CC-BY-NC-ND 4.0
Journal Open

Proposing the Use of Failure Mode and Effect Analysis (FMEA) as Risk Assessment Tool in Construction

Creators

  • 1. PhD Student, Department Civil Engineering, Newcastle University, United Kingdom.

Contributors

Contact person:

  • 1. PhD Student, Department Civil Engineering, Newcastle University, United Kingdom.
  • 2. Associate Professor, Department Construction Management, The American University in Cairo, Egypt.
  • 3. Professor, Department Construction Management, The American University in Cairo, Egypt.

Description

Abstract: The aim of this research was to improve the analysis of risks in construction projects in Egypt through proposing the implementation of FMEA as a risk assessment tool. First, an extensive literature review was conducted to identify the relevant risks in the Egyptian construction industry. Second, a questionnaire survey was carried out to determine the impact, probability, and detection of the identified risk factors according to experts working in the construction sector in Egypt. Third, an analysis of these risks was carried out using traditional PMI's risk assessment, FMEA, and the integration of fuzzy logic with FMEA fundamentals. The reached results demonstrated that FMEA and risk management are quite similar in different aspects, but FMEA has an additional dimension to PMI's risk analysis, which is "detection". Such dimension affects how risks are managed and plays a major role in developing better strategies for controlling and detecting risks. This added depth provides more insights about the project and enables construction parties to make better preparations and decisions in their projects. The findings indicated that FMEA has a significant potential in the construction industry if it is properly applied. Findings of this research are envisaged to promote the application of FMEA as an upgrade to the currently applied PMI's risk management practice; thus, enhancing the efficiency, visualization, and eventually the decision making.

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Additional details

Identifiers

DOI
10.35940/ijitee.L9750.11121223
ISSN
2278-3075

Dates

Accepted
2023-11-15
Manuscript received on 17 October 2023 | Revised Manuscript received on 31 October 2023 | Manuscript Accepted on 15 November 2023 | Manuscript published on 30 November 2023

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