Fuzzy Risk Prioritization of the Failure Modes in Rolling Stocks

Ghodrati, Behzad; Rahimdel, Mohammad Javad; Vahed, Amir Taghizadeh

doi:10.1109/ieem.2018.8607666

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…It is noted that all the M m f i values are TFNs. Then, the value of fuzzy synthetic extent S i with respect to the ith failure mode is defined as [23,30]:…”

Section: Ahp Under the Fuzzy Environment (Phase 1)mentioning

confidence: 99%

“…Therefore, prioritizing the failure mode based on these influences is essential. Ghodrati et al [23] applied the FMEA to identify the potential failure modes of rolling stocks in LKAB Malmtrafik (Sweden). This research was carried out using the analytical hierarchy process (AHP) method under the fuzzy environment (fuzzy AHP, FAHP) to gather with the RPN method.…”

Section: Introductionmentioning

confidence: 99%

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Risk Prioritization for Failure Modes in Mining Railcars

Rahimdel

Ghodrati

2021

Sustainability

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Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

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“…It is noted that all the M m f i values are TFNs. Then, the value of fuzzy synthetic extent S i with respect to the ith failure mode is defined as [23,30]:…”

Section: Ahp Under the Fuzzy Environment (Phase 1)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Risk Prioritization for Failure Modes in Mining Railcars

Rahimdel

Ghodrati

2021

Sustainability

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“…Fan carried out a risk assessment for the complex maglev bogie system with multiple subsystem faults by using a combination of analytic hierarchy process and fuzzy comprehensive evaluation [15]. Ghodrati used analytic hierarchy process (AHP) and risk priority number to prioritize the faults of rail vehicles [16]. Li evaluated the security of urban rail transit power supply system by using analytic hierarchy process and comprehensive evaluation method [17].…”

Section: Introductionmentioning

confidence: 99%

Safety evaluation of rail transit vehicle system based on improved AHP-GA

Dong

Wang

2022

PLoS ONE

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The rail transit vehicle system is an important subsystem with the most frequent operation accidents and the most direct impact on passengers. Based on the particularity of the vehicle system and the complexity of the system, the hierarchical analysis method (AHP) is used to evaluate its safety. High-order judgment matrix often has inconsistency, and the judgment matrix consistency guarantee is the key to the hierarchical analysis method applied. Based on the hierarchical analysis principle, this paper corrects the inconsistency judgment matrix and realizes the optimization calculation based on the genetic algorithm. This paper constructs a vehicle system safety evaluation index system including 26 indexes at three layers and uses the fuzzy comprehensive evaluation method to evaluate the system safety level. The results show that the calculation results based on the improved AHP-GA are significantly better than that based on the conventional AHP method. The comprehensive evaluation conclusion of the case is "average", and the safety level of the vehicle system of the case enterprise needs to be strengthened.

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“…Sant'Anna (2015) uses composition of probabilistic preferences (CPP) with FMEA. Park et al (2017), Nazeri and Naderikia (2017) and Ghodrati et al (2018) utilize FMEA and AHP. Aguiar et al (2018) use fuzzy logic and FMEA together.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing risks with composition of probabilistic preferences and weighting of FMEA criteria for fast decision-making in complex scenarios

Souza

Gavião²,

Sant’Anna

et al. 2021

IJMPB

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PurposeThis study aims to develop a risk prioritization process using failure mode and effect analysis (FMEA) in association with composition of probabilistic preferences (CPP) and weighting the risk analysis criteria. It seeks to develop decision-making considering the fast response necessary to achieve project objectives in complex scenarios, such as the pandemic of COrona VIrus Disease 19 (COVID-19).Design/methodology/approachAfter identifying the risks, the prioritization process was applied to a project in the oil and gas area, in which a focus group assessed these risks. This evaluation took place employing traditional FMEA, FMEA with CPP by axes considering four points of view and FMEA with CPP by weighted sum with the use of a multicriteria method to weight the criteria. These approaches were compared to understand their differences and benefits, with a flow chart being developed, consolidating the procedure.FindingsThe methodologies that showed the greatest benefits were FMEA with CPP by axes PO (progressive-optimistic) and by weighted sum. Essentially, this was mainly related to the interrelationship between risks and to the importance of prioritization.Originality/valueThis procedure can consider company's views on what is critical and the interrelationship between risks. It provides a clear segmentation of what should and should not be prioritized. It was also developed in a practical case, showing a possible alternative to support fast responses in decision-making.

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Fuzzy Risk Prioritization of the Failure Modes in Rolling Stocks

Cited by 6 publications

References 13 publications

Risk Prioritization for Failure Modes in Mining Railcars

Risk Prioritization for Failure Modes in Mining Railcars

Safety evaluation of rail transit vehicle system based on improved AHP-GA

Prioritizing risks with composition of probabilistic preferences and weighting of FMEA criteria for fast decision-making in complex scenarios

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