Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar, Sahand; Yazdi, Mohammad; Adesina, Kehinde Adewale

doi:10.1002/qre.2607

Cited by 47 publications

(23 citation statements)

References 74 publications

(133 reference statements)

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“…Second, various risk factor weighting methods have been appeared in some literature. Analytic hierarchy process (AHP), 18 the ordered weight averaging operator (OWA), 19 and the entropy‐based weighting method 20 are widely applied to derive the weights of RFs. Additionally, some methods considering the relative importance of RFs are reported in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Survey of FMEA methods with improvement on performance inconsistency

Ouyang

Ling

Han

et al. 2021

Quality & Reliability Eng

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Failure mode and effects analysis (FMEA) is an effective risk assessment tool for detecting and reducing possible risks during a manufacturing process. However, traditional FMEA has some shortcomings when used in the real world. In recent years, improved FMEA approaches have been proposed to eliminate the inherent shortcomings of FMEA, but the risk ranking result obtained from those FMEA approaches may be inconsistent. Therefore, this paper integrates six FMEA approaches by using an ensemble learning technique to obtain comprehensive and reliable rankings for failure modes. Data from the assembly process of spark plugs are used to check the performance of the proposed method. Meanwhile, a comparation is designed to illustrate that the proposed FMEA method can not only obtain reliable results, but also provide meaningful management insights for practitioners.

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Section: Literature Reviewmentioning

confidence: 99%

Survey of FMEA methods with improvement on performance inconsistency

Ouyang

Ling

Han

et al. 2021

Quality & Reliability Eng

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show abstract

“…In a simple word, while evidence is set to the child node, backward belief propagation can be obtained, and it gain the probability distribution of parent node(s). While the reverse conditions are true, the prior hypothesis could be received from objectivity such as an observed data within a frequentist approach or subjectivity such as experts' judgments or [33][34][35][36].…”

Section: Bayesian Networkmentioning

confidence: 99%

Intelligent Fuzzy Pythagorean Bayesian Decision Making of Maintenance Strategy Selection in Offshore Sectors

Yazdi

Golilarz

Nedjati

et al. 2021

Lecture Notes in Networks and Systems

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In this study, the new methodology is proposed with the integration of Pythagorean fuzzy set and Bayesian structural method to deal with both objective and subjective uncertainties. The conventional decision-making tools are suffering a couple of fundamental drawbacks, such as (i) the results are depending on subjective terms, (ii) model and data uncertainties are taken into account, (iii) importantly is that confidence level is ignored, and finally (iv) the factor time is not considered into final decisions. In this study, the Pythagorean fuzzy set is overcome with subjective uncertainty, and the Bayesian network is engaged to deal with objective uncertainty. The maintenance strategy selection offshore sectors are studied for the proposed approach to show the effectiveness and efficiency. The results show that the proposed methodology would assist exports in making appropriate decisions.

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“…In OHS risk management practice, the most critical step is the risk assessment of occupational hazards, which aims to ensure the health and safety of workers and minimize the losses and damages 4 . Recently, a growing number of studies have focused on the OHS risk assessment in various industries, covering construction, 5 manufacturing, 6 transportation, 7 solar energy, 8 and so on 9–11 …”

Section: Introductionmentioning

confidence: 99%

Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment

Liu

Zhu

Chen

et al. 2021

Int J of Intelligent Sys

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Occupational health and safety (OHS) is a multidisciplinary activity aimed at recognizing, evaluating and controlling hazards arising in or from the workplace that could impair the health and well‐being of workers. In dealing with an OHS risk analysis problem, it is a crucial step and also a big challenge to assess the risk of occupational hazards. Normally, domain experts tend to use qualitative words to express the risk of occupational hazards due to the fuzziness of human cognition, and multiple risk criteria are often involved in the OHS risk analysis. In this study, we develop a new OHS risk assessment framework by integrating the TODIM (an acronym in Portuguese for interactive and multicriteria decision‐making) and preference ranking organization method for enrichment evaluations (PROMETHEE) methods to assess and rank the risk of occupational hazards under linguistic spherical fuzzy environment. The linguistic spherical fuzzy sets are utilized to deal with the vague and uncertain risk assessments of occupational hazards provided by experts. An integrated TODIM‐PROMETHEE algorithm is introduced to determine the risk priority of the identified occupational hazards. Moreover, we extend the indifference threshold‐based attribute ratio analysis method to derive the relative weights of risk criteria based on linguistic spherical fuzzy information. Finally, the OHS risk analysis of medical staff in a hospital is presented to illustrate the effectiveness and availability of our proposed model. Results show that the TODIM‐PROMETHEE framework being developed in this study provides a useful, effective, and practical way for the risk assessment of occupational hazards in OHS.

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Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Cited by 47 publications

References 74 publications

Survey of FMEA methods with improvement on performance inconsistency

Survey of FMEA methods with improvement on performance inconsistency

Intelligent Fuzzy Pythagorean Bayesian Decision Making of Maintenance Strategy Selection in Offshore Sectors

Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment

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