Evaluating the risk of failure using the fuzzy OWA and DEMATEL method

Chang, Kuei-Hu; Cheng, Ching‐Hsue

doi:10.1007/s10845-009-0266-x

Cited by 157 publications

(63 citation statements)

References 17 publications

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“…Chang et al [20] put forward an intuitionistic fuzzy set ranking technique to calculate the failed RPN value. Chang et al [21] adopted an ordered weighted averaging method and decision-making trial and evaluation laboratory method to solve the failure mode risk problems. Kutlu et al [22] used the analytic hierarchy process and TOPSIS methods integrated with FMEA to obtain the ranking of the potential failure modes.…”

Section: Description Of Fmea and Improved Ahpmentioning

confidence: 99%

An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

2017

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Abstract:In order to effectively analyze, control, and prevent occupational health risk and ensure the reliability of the weight, a method based on FMEA (failure mode and effects analysis) and an improved AHP (analytic hierarchy process) model was established. The occupational disease of the occupational health and safety management system (OHSAS18001) of the mining industry in the southwest of Hubei Province is taken as an example, the three most significant risk factors (dust, noise, and gas) are selected as the research objects, the FMEA method is used, an expert questionnaire is carried out to establish the comprehensive assessment matrix of each indicator according to the RPN (risk priority number) value, and, finally, a case study is conducted through the FMEA and the improved AHP model The results show that the occupational disease of the mining industry's occupational health and safety management system belongs to a "general" grade, which is in line with the physical examination results of the Center for Disease Control and Prevention of Ezhou City in 2015. The improved AHP and FMEA comprehensive assessment model of occupational disease is proved feasible. This method can be incorporated in the process management of the enterprise for the purpose of occupational disease prevention in advance and continuous improvement on the occupational health and safety of employees. Additionally, the area research on this integrated model should be optimized continually in actual situations.

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Section: Description Of Fmea and Improved Ahpmentioning

confidence: 99%

An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

2017

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“…For instance, the DEMATEL approach has been integrated with the ordered weighted geometric averaging operator (Chang, 2009) and with the fuzzy ordered weighted averaging operator (Chang & Cheng, 2011). The fuzzy weighted least square method is integrated with nonlinear programming model (Zhang & Chu, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

FlowSort-GDSS – A novel group multi-criteria decision support system for sorting problems with application to FMEA

Lolli

Ishizaka

Gamberini

et al. 2015

Expert Systems with Applications

120

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a b s t r a c tFailure mode and effects analysis (FMEA) is a well-known approach for correlating the failure modes of a system to their effects, with the objective of assessing their criticality. The criticality of a failure mode is traditionally established by its risk priority number (RPN), which is the product of the scores assigned to the three risk factors, which are likeness of occurrence, the chance of being undetected and the severity of the effects. Taking a simple ''unweighted'' product has major shortcomings. One of them is to provide just a number, which does not sort failures modes into priority classes. Moreover, to make the decision more robust, the FMEA is better tackled by multiple decision-makers. Unfortunately, the literature lacks group decision support systems (GDSS) for sorting failures in the field of the FMEA.In this paper, a novel multi-criteria decision making (MCDM) method named FlowSort-GDSS is proposed to sort the failure modes into priority classes by involving multiple decision-makers. The essence of this method lies in the pair-wise comparison between the failure modes and the reference profiles established by the decision-makers on the risk factors. Finally a case study is presented to illustrate the advantages of this new robust method in sorting failures.

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“…The main purpose of FMEA is to define, identify, and eliminate potential failure or problems in different products, designs, systems, and services [6,7]. FMEA not only can provide a basis to help designers improve or upgrade their scheme to reduce the loss but also can help decision makers to formulate corresponding preventive measures or improve the emergency response capability [8][9][10]. Nowadays FEMA has been widely used in many industry fields including aerospace, chemical, engineering, design mechanical, medical, and so on [11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Measure and Fuzzy Integral

2017

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Failure mode and effects analysis (FMEA) is a popular and useful approach applied to examine potential failures in different products, designs, processes, and services. As a vital index, the risk priority number (RPN) can determine the risk priorities of failure modes by some risk factors such as occurrence (O), severity (S), and detection (D). However, in FMEA, the traditional risk priority number approach has some shortcomings, especially in setting the weight of risk factors. This paper presents an improved risk priority number approach based on a fuzzy measure and fuzzy integral. A fuzzy measure is used to reflect the importance of the individual indicators and the indicator set and a fuzzy integral is a nonlinear function defined on the basis of fuzzy measure. The weights of risk factors given by domain experts are seen as fuzzy densities to generate a λ-fuzzy measure which can reflect the weights' difference and relevance about risk factors. Then, the Choquet integral is used to fuse every value of risk factors about failure modes so as to obtain the comprehensive evaluation result. The result can reflect the comprehensive risk level, so it has a definite physical significance. Finally, an illustrative example and a comparison with another approach are given to show the effectiveness of the proposed approach in the paper.

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Evaluating the risk of failure using the fuzzy OWA and DEMATEL method

Cited by 157 publications

References 17 publications

An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

FlowSort-GDSS – A novel group multi-criteria decision support system for sorting problems with application to FMEA

Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Measure and Fuzzy Integral

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