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<p>In the proposed work, various mathematical expressions is derived using the Intuitionistic Fuzzy Lambda Tau (IFLT) technique. Reliability parameters are computed to analyse the failure behavior of the industrial unit. Moreover, to consider the maintenance aspect, the Failure Mode &amp; Effect Analysis (FMEA) approach is implemented to identify the various failure causes. To find the correct maintenance policy for each component of the unit, IF-Measurement of Alternatives and Ranking according to COmpromise Solution (IF-MARCOS) approach is implemented. The maintenance planning for each component of the unit is suggested, based on the Maintenance Criticality Factor (MCF), which is derived by implementing the MARCOS approach. The five criteria chosen are Occurrence (O), Severity (S), Detection (D), Down Time (DT), and Environmental Safety (ES). Components of the Boiling House Unit (BHU) such as Quad and Falling Film Evaporator (FFE), Steam valve, are found suitable to undergo optimal preventive maintenance, with MCF—1.87, 1.11 respectively, whereas corrective maintenance (with MCF 0.72) has been suggested for centrifugal pump. Critical components of the units have also been identified in the order of—Quad and FFE, steam valve and centrifugal pump.</p>

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Reliability analysis, and maintenance planning of boiling house unit using FMEA-MARCOS approach

  • 期刊论文

  • 发表日期：

    2026年4月6日

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  • Dinesh Kumar Kushwaha,
  • Dilbagh Panchal

摘要

In the proposed work, various mathematical expressions is derived using the Intuitionistic Fuzzy Lambda Tau (IFLT) technique. Reliability parameters are computed to analyse the failure behavior of the industrial unit. Moreover, to consider the maintenance aspect, the Failure Mode & Effect Analysis (FMEA) approach is implemented to identify the various failure causes. To find the correct maintenance policy for each component of the unit, IF-Measurement of Alternatives and Ranking according to COmpromise Solution (IF-MARCOS) approach is implemented. The maintenance planning for each component of the unit is suggested, based on the Maintenance Criticality Factor (MCF), which is derived by implementing the MARCOS approach. The five criteria chosen are Occurrence (O), Severity (S), Detection (D), Down Time (DT), and Environmental Safety (ES). Components of the Boiling House Unit (BHU) such as Quad and Falling Film Evaporator (FFE), Steam valve, are found suitable to undergo optimal preventive maintenance, with MCF—1.87, 1.11 respectively, whereas corrective maintenance (with MCF 0.72) has been suggested for centrifugal pump. Critical components of the units have also been identified in the order of—Quad and FFE, steam valve and centrifugal pump.