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    Using EWGM Method to Optimise the FMEA as a Risk Assessment Methodology

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    Munive_Hernandez_Accepted_Manuscript.pdf (417.9Kb)
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    Publication date
    2019-06
    Author
    Almashaqbeh, Sahar
    Munive-Hernandez, J. Eduardo
    Khan, M. Khurshid
    Keyword
    EWGM
    Exponential and Weighted Geometric Mean
    FMEA
    Failure Modes and Effect Analysis
    AHP
    Analytic Hierarchy Process
    Risk assessment
    RPN
    Risk Priority Numbers
    Rights
    The 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.
    Peer-Reviewed
    Yes
    
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    Abstract
    Failure 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.
    URI
    http://hdl.handle.net/10454/17045
    Version
    Accepted manuscript
    Citation
    Almashaqbeh 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.
    Link to publisher’s version
    https://doi.org/10.1177%2F1063293X19844302
    Type
    Article
    Collections
    Engineering and Informatics Publications

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