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Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala
The comprehensive intention of the present study is to propose a robust mathematical model for Failure Modes and Effect Analysis (FMEA) for submersible pump components. FMEA helps discover potential failures existing within the design of a product, process, or system of components. In this paper, a...
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Published in: | International journal of system assurance engineering and management 2023-10, Vol.14 (5), p.1778-1798 |
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creator | Bhattacharjee, Pushparenu Hussain, Syed Abou Iltaf Dey, V. Mandal, U. K. |
description | The comprehensive intention of the present study is to propose a robust mathematical model for Failure Modes and Effect Analysis (FMEA) for submersible pump components. FMEA helps discover potential failures existing within the design of a product, process, or system of components. In this paper, a novel Multi-criteria decision-making method named as Proportionate Risk Assessment Model (PRASM) is proposed to evaluate the most susceptible potential failure modes (PFMs) for the submersible pump. The PRASM method selects the most susceptible PFM by assessing the amount of risk associated with it. This approach is the first of its kind that considers the individual importance of each PFM, as well as exclusive contribution of risk attributes during FMEA evaluation. Decision makers rate the different PFMs concerning the criteria using linguistic terms which are then converted into a non-linear triangular interval-valued fuzzy number
NTrIVFN
. It is a special case of interval-valued fuzzy numbers with non-linear membership functions. This paper also scrutinizes the impact of non-linear membership functions in the process of decision-making. Moreover, ranking is done using the centroid method which is extended for
NTrIVFN
. Furthermore, the proposed approach with
NTrIVFN
rating is endorsed with a case study involving failures in components of submersible pumps used in a power plant. |
doi_str_mv | 10.1007/s13198-023-01981-6 |
format | article |
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NTrIVFN
. It is a special case of interval-valued fuzzy numbers with non-linear membership functions. This paper also scrutinizes the impact of non-linear membership functions in the process of decision-making. Moreover, ranking is done using the centroid method which is extended for
NTrIVFN
. Furthermore, the proposed approach with
NTrIVFN
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NTrIVFN
. It is a special case of interval-valued fuzzy numbers with non-linear membership functions. This paper also scrutinizes the impact of non-linear membership functions in the process of decision-making. Moreover, ranking is done using the centroid method which is extended for
NTrIVFN
. Furthermore, the proposed approach with
NTrIVFN
rating is endorsed with a case study involving failures in components of submersible pumps used in a power plant.</description><subject>Case studies</subject><subject>Centroids</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Engineering Economics</subject><subject>Failure</subject><subject>Failure modes</subject><subject>Fuzzy systems</subject><subject>Logistics</subject><subject>Marketing</subject><subject>Mathematical models</subject><subject>Multiple criterion</subject><subject>Organization</subject><subject>Original Article</subject><subject>Power plants</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Risk assessment</subject><subject>Robustness (mathematics)</subject><subject>Safety and Risk</subject><issn>0975-6809</issn><issn>0976-4348</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kc1q3EAQhIVJwMbxC-TUkLOS-ZFmNLkZYycBQy7JeeiVetayJY08PSLsk-R1M-sN-OZLdx2-Kiiqqj5K8VkKYb-w1NJ1tVC6FkXI2pxVF8JZUze66d696LY2nXDn1RXzoxBCKtmoRlxUf-9wnLZEMMeBAJcBKATqMxeN04FHhhAT8LabKfG4mwjWbV6hj_MaF1oybDwue1hTXGPKY1wwE6SRnwCZiXk-Msfw6Ssg9MgEnLfhAOMC-aGkxT-UYJ2wYDHA9R5Txgk_VO8DTkxX__9l9fvu9tfN9_r-57cfN9f3dV8659qhsXqwHfYukBuUQuWcKFfsTN-4YFG1KA1iY2ywpIbeWWxbGYQ2hdH6svp0yi0Fnjfi7B_jlkp19qprjbNO26ZQ6kT1KTInCn5N44zp4KXwxw38aQNfNvAvG3hTTPpk4gIve0qv0W-4_gE4NoyA</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Bhattacharjee, Pushparenu</creator><creator>Hussain, Syed Abou Iltaf</creator><creator>Dey, V.</creator><creator>Mandal, U. 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K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala</atitle><jtitle>International journal of system assurance engineering and management</jtitle><stitle>Int J Syst Assur Eng Manag</stitle><date>2023-10-01</date><risdate>2023</risdate><volume>14</volume><issue>5</issue><spage>1778</spage><epage>1798</epage><pages>1778-1798</pages><issn>0975-6809</issn><eissn>0976-4348</eissn><abstract>The comprehensive intention of the present study is to propose a robust mathematical model for Failure Modes and Effect Analysis (FMEA) for submersible pump components. FMEA helps discover potential failures existing within the design of a product, process, or system of components. In this paper, a novel Multi-criteria decision-making method named as Proportionate Risk Assessment Model (PRASM) is proposed to evaluate the most susceptible potential failure modes (PFMs) for the submersible pump. The PRASM method selects the most susceptible PFM by assessing the amount of risk associated with it. This approach is the first of its kind that considers the individual importance of each PFM, as well as exclusive contribution of risk attributes during FMEA evaluation. Decision makers rate the different PFMs concerning the criteria using linguistic terms which are then converted into a non-linear triangular interval-valued fuzzy number
NTrIVFN
. It is a special case of interval-valued fuzzy numbers with non-linear membership functions. This paper also scrutinizes the impact of non-linear membership functions in the process of decision-making. Moreover, ranking is done using the centroid method which is extended for
NTrIVFN
. Furthermore, the proposed approach with
NTrIVFN
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subjects | Case studies Centroids Decision making Engineering Engineering Economics Failure Failure modes Fuzzy systems Logistics Marketing Mathematical models Multiple criterion Organization Original Article Power plants Quality Control Reliability Risk assessment Robustness (mathematics) Safety and Risk |
title | Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala |
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