Abstract
The paper describes an application-based work that aims to employ an optimal model for risk prioritization to determine the likelihood and outcomes of failures occurring in a mechanical system. The Failure Mode, Effects and Criticality Analysis (FMECA) is widely used in the industry for determining proper prophylactic measures in the event of failures. However, the uncertainty of events is a major issue in the traditional FMECA method due to different evaluation parameters resulting in the same value of risk prioritization number, making it difficult to rank failures accurately. To address this issue, the paper presents a FUZZY & Analytic Hierarchy Process (AHP) integrated application-based method, which utilizes a comprehensive evaluation technique to contribute to the risk prioritization process more accurately, minimizing the uncertainties of events. The paper also provides a detailed FMECA analysis of the Vertical Roller Mill, one of the most crucial machinery of a cement plant, to determine possible failure modes of different components of various subsystems in this mechanical system. The comprehensive evaluation technique helped to make the results more accurate by providing flexibility for choosing the number of decision-making evaluation parameters, taking the decision of several experts, and establishing a matrix of importance among the various evaluation parameters. The paper attempts to accomplish a comparative study that would suggest some improvements to the analysis by real-time application of this analytical concept to prioritize the risk.
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Sharma, A., Gupta, G. Comparative analysis of conventional and fuzzy FMECA approach for criticality analysis of a vertical roller mill. Int J Syst Assur Eng Manag 14, 1395–1420 (2023). https://doi.org/10.1007/s13198-023-01944-x
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DOI: https://doi.org/10.1007/s13198-023-01944-x