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A modified method to improve failure analysis

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  • Ilyas Mzougui

    (Abdelmalek Essaadi University)

  • Zoubir El Felsoufi

    (Abdelmalek Essaadi University)

Abstract

Failure mode and effects analysis (FMEA) is an effective method that is widely used to manage failures and prevent risks, and, thanks to its simplicity and its versatility, the most important and renowned quality norms request it use. However, in literature, several works have criticized this tool and claims that it had short-comes. The FMEA team members are considered with the same importance and failures values are calculated meaning their judgement and without any differentiation. Moreover, failures modes are supposed to be independent and the effect of their relationship is ignored in the risk analysis. The accuracy of the FMEA analysis is also reduced due to the fact that risk factors are supposed to have the same importance. In this article, we propose to combine FMEA with other methods in order to overcame it limitedness. Firstly, a criteria selection will be proposed in order to select the most relevant factors for risk analysis. Their weights will be calculated using the best worst method (BWM). Secondly, a weight associated to every team member will be calculated and used to obtain failures values. Thirdly, the design structure method (DSM) will be used to identify the relationship between failures and to judge their importance, we propose to use the fuzzy technique for order of preference by similarity method (FTOPSIS). In order to test the applicability and the effectiveness of this method, a case study will be proposed in the end.

Suggested Citation

  • Ilyas Mzougui & Zoubir El Felsoufi, 2021. "A modified method to improve failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(2), pages 231-244, April.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:2:d:10.1007_s13198-020-01043-1
    DOI: 10.1007/s13198-020-01043-1
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    References listed on IDEAS

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    1. Dilbagh Panchal & Umesh Jamwal & Priyank Srivastava & Kushal Kamboj & Rohit Sharma, 2018. "Fuzzy methodology application for failure analysis of transmission system," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 12(2), pages 220-237.
    2. Gianpaolo Di Bona & Alessandro Silvestri & Antonio Forcina & Antonella Petrillo, 2018. "Total efficient risk priority number (TERPN): a new method for risk assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 21(11), pages 1384-1408, November.
    3. Carpitella, Silvia & Certa, Antonella & Izquierdo, Joaquín & La Fata, Concetta Manuela, 2018. "A combined multi-criteria approach to support FMECA analyses: A real-world case," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 394-402.
    4. Carmignani, Gionata, 2009. "An integrated structural framework to cost-based FMECA: The priority-cost FMECA," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 861-871.
    5. J. Wakiru & P. N. Muchiri & L. Pintelon & P. Chemweno, 2019. "A cost-based failure prioritization approach for selecting maintenance strategies for thermal power plants: a case study context of developing countries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1369-1387, October.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    8. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    9. M. Ilangkumaran & P. Shanmugam & G. Sakthivel & K. Visagavel, 2014. "Failure mode and effect analysis using fuzzy analytic hierarchy process," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 14(3), pages 296-313.
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    Cited by:

    1. Pavol Gejdos & Zuzana Zavadska & Jarmila Schmidtova, 2023. "Determinants of the implementation of the quality management systems in SMEs," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(2), pages 58-68, June.

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    More about this item

    Keywords

    FMEA; RPN; Fuzzy AHP; DSM; FTOPSIS; BWM;
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