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Failure mode and effect analysis using fuzzy analytic hierarchy process

Author

Listed:
  • M. Ilangkumaran
  • P. Shanmugam
  • G. Sakthivel
  • K. Visagavel

Abstract

This paper develops an evaluation model based on failure mode and effect analysis (FMEA) and fuzzy analytic hierarchy process (FAHP), to help the maintenance person for assessing the risk priority of the critical components in the paper industry to provide timely maintenance. Traditional FMEA determines risk priority number (RPN) by multiplying the scores of three factors. However the scores which are computed through traditional FMEA do not considere relative importance of the factors. The FAHP is used to compute the relative weights of the decision factors. A numerical example is used to illustrate the efficiency of the proposed model.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:ijpqma:v:14:y:2014:i:3:p:296-313
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    Citations

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    Cited by:

    1. Priyank Srivastava & Dinesh Khanduja & V. P. Agrawal, 2020. "Agile maintenance attribute coding and evaluation based decision making in sugar manufacturing plant," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 553-583, June.
    2. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    3. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    4. Dilbagh Panchal & Priyank Srivastava, 2019. "Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach," 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(1), pages 44-56, February.
    5. Priyank Srivastava & Dinesh Khanduja & Subramaniam Ganesan, 2020. "Fuzzy methodology application for risk analysis of mechanical system in process industry," 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. 11(2), pages 297-312, April.
    6. Ferenc Bognár & Csaba Hegedűs, 2022. "Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    7. 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.

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