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Fuzzy methodology application for failure analysis of transmission system

Author

Listed:
  • Dilbagh Panchal
  • Umesh Jamwal
  • Priyank Srivastava
  • Kushal Kamboj
  • Rohit Sharma

Abstract

The aim of this research work is to propose a fuzzy methodology-based integrated framework for the failure analysis of the transmission system of the TATA Company-made heavy commercial vehicle. Under the failure analysis failure mode effect analysis (FMEA) approaches has been applied and the critical components of the considered system were identified on the basis of their risk priority number (RPN). The identification of critical components on the basis of RPN score results in confusion to system analyst as it becomes difficult to allocate appropriate risk priorities under same RPN scores. Also, importance among the probability of occurrence of failure (Of), severity (S), probability of non-detection (Od) are assumed to be of same importance, however, in real practical application there exists relative importance among these three factors. Therefore, to overcome such types of limitations of FMEA approach a fuzzy decision making system (FDMS) and grey relation analysis (GRA) approaches were applied. The ranking results so obtained were compared for better and intelligent decision making of risky components and the results were further supplied to maintenance management/reliability engineer of the considered system for planning and implementing the suitable maintenance policy accordingly.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:ijmore:v:12:y:2018:i:2:p:220-237
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Huang, Jia & You, Jian-Xin & Liu, Hu-Chen & Song, Ming-Shun, 2020. "Failure mode and effect analysis improvement: A systematic literature review and future research agenda," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    4. Mehdi Allahdadi & Aida Batamiz, 2021. "Generation of some methods for solving interval multi-objective linear programming models," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1077-1115, December.
    5. 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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