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dc.contributor.authorAlmashaqbeh, Sahar*
dc.contributor.authorMunive-Hernandez, J. Eduardo*
dc.contributor.authorKhan, M. Khurshid*
dc.date.accessioned2019-05-13T14:09:48Z
dc.date.available2019-05-13T14:09:48Z
dc.date.issued2019-06
dc.identifier.citationAlmashaqbeh S, Munive-Hernandez JE and Khan MK (2019) Using EWGM Method to Optimise the FMEA as a Risk Assessment Methodology. Concurrent Engineering. 27(2): 144- 154.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17045
dc.descriptionYesen_US
dc.description.abstractFailure Modes and Effect Analysis (FMEA) is a proactive, highly structured, and systematic approach for failure analysis. It has been also applied as a risk assessment tool, by ranking potential risks based on the estimation of Risk Priority Numbers (RPNs). This paper develops an improved FMEA methodology for strategic risk analysis. The proposed approach combines the Analytic Hierarchy Process (AHP) technique with the Exponential and Weighted Geometric Mean method (EWGM) to support risk analysis. AHP is applied to estimate the weights of three risk factors: Severity (S), Occurrence (O) and Detection (D), which integrate the RPN for each risk. The EWGM method is applied for ranking RPNs. Combining AHP with EWGM allows avoiding repetition of FMEA results. The results of the developed methodology reveal that duplication of RPNs has been decreased, and facilitating an effective risk ranking by offering a unique value for each risk. The proposed methodology focuses not only on high severity values for risk ranking but also it considers other risk factors (O and D), resulting in an enhanced risk assessment process. Furthermore, the weights of the three risk factors are considered. In this way, the developed methodology offers unique value for each risk in a simple way which makes the risk assessment results more accurate. This methodology provides a practical and systematic approach to support decision-makers in assessing and ranking risks that could affect long-term strategy implementation. The methodology was validated through the case study of a power plant in the Middle East, assessing 84 risks within 9 risk categories. The case study revealed that top management should pay more attention to key risks associated with electricity price, gas emissions, lost-time injuries, bad odor, and production.en_US
dc.description.sponsorshipThis research has been supported by Hashemite University, Jordan.en_US
dc.language.isoenen_US
dc.rightsThe final, definitive version of this paper has been published in Concurrent Engineering, 27/2 by SAGE Publications Ltd, All rights reserved. © 2019 SAGE Publications Ltd.
dc.subjectEWGMen_US
dc.subjectExponential and Weighted Geometric Meanen_US
dc.subjectFMEAen_US
dc.subjectFailure Modes and Effect Analysisen_US
dc.subjectAHPen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectRisk assessmenten_US
dc.subjectRPNen_US
dc.subjectRisk Priority Numbersen_US
dc.titleUsing EWGM Method to Optimise the FMEA as a Risk Assessment Methodologyen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-03-26
dc.date.application2019-04-24
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1177%2F1063293X19844302
refterms.dateFOA2019-05-13T14:09:48Z


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