Reliability centered maintenance actions prioritization using fuzzy inference systems
Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured a...
Ausführliche Beschreibung
Autor*in: |
Awad, Mahmoud [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Rechteinformationen: |
Nutzungsrecht: © Emerald Group Publishing Limited |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of quality in maintenance engineering - Bradford : Emerald, 1995, 22(2016), 4, Seite 433-452 |
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Übergeordnetes Werk: |
volume:22 ; year:2016 ; number:4 ; pages:433-452 |
Links: |
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DOI / URN: |
10.1108/JQME-07-2015-0029 |
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Katalog-ID: |
OLC1986135586 |
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520 | |a Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. | ||
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10.1108/JQME-07-2015-0029 doi PQ20170301 (DE-627)OLC1986135586 (DE-599)GBVOLC1986135586 (PRQ)c1357-e4858fc882f498b7f735aab1ca8a21e59877b77b3051c70dfa023e9c69a715460 (KEY)0273922420160000022000400433reliabilitycenteredmaintenanceactionsprioritizatio DE-627 ger DE-627 rakwb eng 600 ZDB Awad, Mahmoud verfasserin aut Reliability centered maintenance actions prioritization using fuzzy inference systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. Nutzungsrecht: © Emerald Group Publishing Limited Failure Repair & maintenance Customer satisfaction Maintenance management As’ad, Rami Afif oth Enthalten in Journal of quality in maintenance engineering Bradford : Emerald, 1995 22(2016), 4, Seite 433-452 (DE-627)189063904 (DE-600)1287639-2 (DE-576)9189063902 1355-2511 nnns volume:22 year:2016 number:4 pages:433-452 http://dx.doi.org/10.1108/JQME-07-2015-0029 Volltext http://search.proquest.com/docview/1841765208 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-WIW GBV_ILN_70 AR 22 2016 4 433-452 |
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10.1108/JQME-07-2015-0029 doi PQ20170301 (DE-627)OLC1986135586 (DE-599)GBVOLC1986135586 (PRQ)c1357-e4858fc882f498b7f735aab1ca8a21e59877b77b3051c70dfa023e9c69a715460 (KEY)0273922420160000022000400433reliabilitycenteredmaintenanceactionsprioritizatio DE-627 ger DE-627 rakwb eng 600 ZDB Awad, Mahmoud verfasserin aut Reliability centered maintenance actions prioritization using fuzzy inference systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. Nutzungsrecht: © Emerald Group Publishing Limited Failure Repair & maintenance Customer satisfaction Maintenance management As’ad, Rami Afif oth Enthalten in Journal of quality in maintenance engineering Bradford : Emerald, 1995 22(2016), 4, Seite 433-452 (DE-627)189063904 (DE-600)1287639-2 (DE-576)9189063902 1355-2511 nnns volume:22 year:2016 number:4 pages:433-452 http://dx.doi.org/10.1108/JQME-07-2015-0029 Volltext http://search.proquest.com/docview/1841765208 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-WIW GBV_ILN_70 AR 22 2016 4 433-452 |
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10.1108/JQME-07-2015-0029 |
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title_sort |
reliability centered maintenance actions prioritization using fuzzy inference systems |
title_auth |
Reliability centered maintenance actions prioritization using fuzzy inference systems |
abstract |
Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. |
abstractGer |
Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. |
abstract_unstemmed |
Purpose Deploying an effective maintenance strategy across an organization stands out as an essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose of this paper is to propose a simple, yet well-structured approach toward prioritizing maintenance actions as part of a reliability centered maintenance (RCM) implementation plan, and selecting the most important subset of those actions subject to time and budget constraints. Design/methodology/approach A comprehensive RCM actions prioritization methodology is proposed using four criteria: severity, benefit to cost ratio, customer satisfaction, and easiness of action implementation. The method utilizes fuzzy inference system (FIS) to incorporate subject matter experts’ feedback into the decision-making process. The output of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated using a real-life example of a hydraulic brake system circuit that is used in construction equipment. The computational results illustrate the validity of the proposed approach and indicate that the selection of which maintenance actions to carry out is impacted by the relative importance (i.e. weight) of the considered criteria. Originality/value The work presented in this paper provides the decision makers with a systematic procedure that helps in selecting the most relevant maintenance actions instead of making the selection in a complete ad hoc manner or based merely on subjective opinions. |
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title_short |
Reliability centered maintenance actions prioritization using fuzzy inference systems |
url |
http://dx.doi.org/10.1108/JQME-07-2015-0029 http://search.proquest.com/docview/1841765208 |
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As’ad, Rami Afif |
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up_date |
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