Volume 10, Issue 6 (2013)                   ioh 2013, 10(6): 78-91 | Back to browse issues page

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Ardeshir A, Amiri M, Mohajeri M. Safety Risk Assessment in Mass Housing Projects Using Combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA. ioh 2013; 10 (6) :78-91
URL: http://ioh.iums.ac.ir/article-1-883-en.html
Amirkabir university of technology , ardeshir@aut.ac.ir
Abstract:   (13073 Views)

  Background and aims : The construction industry is known as one of the most dangerous industries in terms of work-related mortality, injury rates and workers compensation payment. Therefore, safety risk assessment is a key step to be performed for management of major construction projects.

 Method : Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that mitigates potential failures in systems, processes, designs or services and is used in a wide range of industries . The purpose of this research is to employ the combination of fuzzy logic and FMEA, FTA, AHP-DEA methods for safety risk assessment of mass housing construction .

  Results: In the case study section, for the purpose of safety risk assessment, two different types of mass housing projects are investigated. According to the results, the risks of falls from height in both projects are identified as the most significant risks. Hence, risk reduction strategies and actions for prevention and mitigation of hazards are presented .

  Conclusion : The ranking of the risks and the highest risks found in this research are consistent with the previous research and with the report of the Iranian Social Security Organization (ISSO). In addition, the root causes of the major risks match up with similar studies. Moreover, the validity of the research findings is approved by the risk assessment group. Hence, t his model (which is able to consider the current safety condition) can help safety professionals in construction sites to identify risks, explore their root causes and to develop accurate tools to control them.

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Type of Study: Research | Subject: Assessment and risk management
Received: 2012/12/14 | Accepted: 2013/07/14 | Published: 2014/05/21

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