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FMECA using fuzzy logic and grey theory: a comparitve case study applied to ammonia storage facility

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Listed:
  • K. R. Aswin

    (Cochin University of Science and Technology)

  • V. R. Renjith

    (Cochin University of Science and Technology)

  • K. R. Akshay

    (Cochin University of Science and Technology)

Abstract

Failure Mode Effect and Criticality Analysis (FMECA) is an effective and widely used tool in process industries to manage safety and reliability. FMECA is performed by developing a Risk Priority Number (RPN) for each failure mode which is identified using risk evaluation techniques. The Risk Priority Number is obtained by simple multiplication of the corresponding ranks of risk factors such as Occurrence, Severity and Non-Detection. The technique of ranking failure modes using conventional RPN has several drawbacks. Many researchers have questioned the reliability of traditional FMEA and the use of conventional risk priority number (RPN). To minimize the drawbacks and improve the reliability of risk assessment, advanced methods of FMEA such as Fuzzy-FMECA was introduced. The objective of this research is to propose a method for better decision making and developing the maintenance strategies for complex systems by comparing the results of Fuzzy-FMECA and grey theory. In this analysis, failure modes are identified and the fuzzy logic is used to prioritize them using linguistic terms and an if–then rule based system in Matlab fuzzy toolbox. Grey theory is applied to determine the degree of relation of each failure modes and ranking the failure modes according to the priority. The results obtained using conventional RPN, fuzzy RPN and grey theory based RPN is compared. To demonstrate the application of the proposed method, a case study of atmospheric ammonia storage tank is used. The proposed approach effectively reduces the drawbacks of traditional risk priority number method and adapts flexibility to real world situations.

Suggested Citation

  • K. R. Aswin & V. R. Renjith & K. R. Akshay, 2022. "FMECA using fuzzy logic and grey theory: a comparitve case study applied to ammonia storage facility," 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. 13(4), pages 2084-2103, August.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:4:d:10.1007_s13198-022-01620-6
    DOI: 10.1007/s13198-022-01620-6
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    References listed on IDEAS

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    1. Athakorn Kengpol & Sopida Tuammee, 2016. "The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1020-1038, February.
    2. Seyed-Hosseini, S.M. & Safaei, N. & Asgharpour, M.J., 2006. "Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 872-881.
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    1. Heng Zhang & Yaya Chen & Jingyu Cong & Junxiao Liu & Zhifu Zhang & Xirui Zhang, 2023. "Reliability Study of an Intelligent Profiling Progressive Automatic Glue Cutter Based on the Improved FMECA Method," Agriculture, MDPI, vol. 13(8), pages 1-17, July.

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