Fuzzy Reliability Analyzer: Quantitative Assessment of Risk Events in the Construction Industry Using Fuzzy Fault-Tree Analysis

Abdelgawad, Mohamed; Fayek, Aminah Robinson

doi:10.1061/(asce)co.1943-7862.0000285

Cited by 66 publications

(31 citation statements)

References 16 publications

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“…In other words, the importance analysis helps to identify model inputs that have a significant effect on the output and it helps to understand how to evaluate the effectiveness of the adopted corrective strategies. In this research, since the probability of the top event is a fuzzy number, the fuzzy importance measures (FIM) (Abdelgawad & Fayek, 2011) is applied to assess the contribution of each basic event to the probability of occurrence of top event. FIM considers the fact that an event may lead to the system failure without being critical.…”

Section: Fuzzy Importance Analysismentioning

confidence: 99%

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

Shoar

Banaitis

2019

Journal of Civil Engineering and Management

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The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project.

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Section: Fuzzy Importance Analysismentioning

confidence: 99%

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

Shoar

Banaitis

2019

Journal of Civil Engineering and Management

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“…In conventional FTA, the failure probabilities of the input events are expressed by exact values . However, in many industries, including the construction industry, having sufficient data to derive probability distributions is often difficult . Hence, fuzzy‐based FTA is proposed by many researchers, to overcome the lack of historical data about the behavior of events over time.…”

Section: Introductionmentioning

confidence: 99%

Fast Fault Tree Analysis for Hybrid Uncertainties Using Stochastic Logic Implemented on Field‐Programmable Gate Arrays: An Application in Quantitative Assessment and mitigation of Welding Defects Risk

Shoar

Zarandi

Nasirzadeh

et al. 2016

Quality & Reliability Eng

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This paper presents a stochastic logic-based method for quantitative risk assessment using fault tree analysis (FTA) that can take into account both types of uncertainties including objective and subjective uncertainties. In the proposed method, each fault tree gate is translated to its corresponding stochastic logic template and then is implemented on a field programmable gate array (FPGA). Because the analysis does not utilize any transformation methods, the results of analysis are more accurate than those methods which are based on transformation from possibility to probability distributions or vice versa. Experimental results for a benchmark fault tree show that this method accelerates analysis time compared to conventional hybrid uncertainty analysis method and transformation methods. The efficiency of the proposed method is demonstrated by implementation in a real steel structure project. The quantitative risk assessment is performed for the incomplete penetration as one of the defects encountered in arc welding process, and its results are compared with transformation methods. The comparison results show the proposed hybrid uncertainty analysis method is also more accurate in comparison to the transformation-based approaches.

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“…Therefore, Fault Tree Analysis (FTA) was applied in risk assessment. Fuzzy FTA (FFTA), as a more recent method, has been applied in the eld of risk analysis to some extent [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)

2016

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The construction industry is one of the most dangerous environments to work in. For this reason, safety-related risk analysis is one of the most signi cant tasks that has to be undertaken when managing major construction projects. A combination of fuzzy logic and Failure Mode and E ects Analysis (FMEA), Fault Tree Analysis (FTA), and Analytical Hierarchy Process-Data Envelopment Analysis (AHP-DEA) was applied to improve the process of managing safety risks. Two di erent types of large-scale construction projects were also considered as case studies. It was found that the risk of falling from a height is the most signi cant risk in both types of project. Moreover, the factors intensifying the risk of injury in the workers who fall were found to be ignoring safety and lack of personal protective equipment as well as lack of appropriate training for construction workers. It was also concluded that the framework is applicable to all construction sites, covers all safety aspects, and has valid results.

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Fuzzy Reliability Analyzer: Quantitative Assessment of Risk Events in the Construction Industry Using Fuzzy Fault-Tree Analysis

Cited by 66 publications

References 16 publications

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

Fast Fault Tree Analysis for Hybrid Uncertainties Using Stochastic Logic Implemented on Field‐Programmable Gate Arrays: An Application in Quantitative Assessment and mitigation of Welding Defects Risk

Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)

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