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Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach

Author

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  • Dilbagh Panchal

    (Dr. B.R Ambedkar National Institute of Technology)

  • Priyank Srivastava

    (Amity University)

Abstract

This research work reviews different risk analysis approach and expounds the application of fuzzy integrated multi criteria decision making framework for qualitative analysis of compressed natural gas dispensing system. Qualitative analysis of system is its risk identification and prioritization. This analysis is done by exemplifying integrated approach of failure mode and effect analysis (FMEA), fuzzy FMEA and fuzzy grey relational analysis (GRA) respectively. The conventional FMEA prioritizes risk on the basis of risk priority number (RPN). The uncertainty issue from analysis has been removed by integrating fuzzy methodology with conventional technique. The rule base in fuzzy inference system is used for calculating fuzzy RPN. The effect of weightage of each variable has been considered in fuzzy GRA for risk prioritization. A total of 43 risks have been identified and seven are assessed critical to system. The regulator malfunction of metering skid, internal leakage of compressor, motherboard failure of dispenser, internal pipe leakage and air filter choking of priority panel and plug leakage of cascade have been identified as critical risk in present study. This outcome of the proposed framework will act as decision support system for the system analyst and maintenance engineer to identify and prioritize risk, subsequently assisting them for better maintenance planning.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:1:d:10.1007_s13198-018-0750-9
    DOI: 10.1007/s13198-018-0750-9
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    References listed on IDEAS

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    1. D. E. Ighravwe & S. A. Oke, 2017. "A fuzzy-grey-weighted aggregate sum product assessment methodical approach for multi-criteria analysis of maintenance performance systems," 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. 8(2), pages 961-973, November.
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    Cited by:

    1. 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.
    2. Mehdi Salimi & Mahboubeh Khodaparast, 2019. "Providing a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal," 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 1133-1144, October.
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    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.

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    More about this item

    Keywords

    FMEA; FIS; Fuzzy FMEA; Fuzzy GRA; CNG;
    All these keywords.

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