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Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach

Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making... Failure mode and effect analysis (FMEA) is a widely used approach to identify the potential failure modes, the causes for their occurrence and their possible effects of a product, process and service for improvement. Due to the shortcomings of the conventional risk priority number method, a number of alternative failure analysis models have been developed in the literature. However, most of the improvements have not taken into account the interrelations among failure modes, and thus do not hold good for complex systems with many subsystems or components. Additionally, previous researches often evaluated the risk of failure modes by independently considering the risk factors occurrence (O), severity (S) and detection (D), although they are more likely to affect each other in actual situations. In this paper, we present a new systematic FMEA using a hybrid multiple criteria decision-making approach to enhance the risk assessment capability of the traditional FMEA. A numerical example is included to illustrate the proposed risk priority model and the results are compared with other existing methods to further demonstrate its advantages. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Total Quality Management & Business Excellence Taylor & Francis

Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach

Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach

Total Quality Management & Business Excellence , Volume 30 (5-6): 28 – Apr 3, 2019

Abstract

Failure mode and effect analysis (FMEA) is a widely used approach to identify the potential failure modes, the causes for their occurrence and their possible effects of a product, process and service for improvement. Due to the shortcomings of the conventional risk priority number method, a number of alternative failure analysis models have been developed in the literature. However, most of the improvements have not taken into account the interrelations among failure modes, and thus do not hold good for complex systems with many subsystems or components. Additionally, previous researches often evaluated the risk of failure modes by independently considering the risk factors occurrence (O), severity (S) and detection (D), although they are more likely to affect each other in actual situations. In this paper, we present a new systematic FMEA using a hybrid multiple criteria decision-making approach to enhance the risk assessment capability of the traditional FMEA. A numerical example is included to illustrate the proposed risk priority model and the results are compared with other existing methods to further demonstrate its advantages.

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References (58)

Publisher
Taylor & Francis
Copyright
© 2017 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1478-3371
eISSN
1478-3363
DOI
10.1080/14783363.2017.1317585
Publisher site
See Article on Publisher Site

Abstract

Failure mode and effect analysis (FMEA) is a widely used approach to identify the potential failure modes, the causes for their occurrence and their possible effects of a product, process and service for improvement. Due to the shortcomings of the conventional risk priority number method, a number of alternative failure analysis models have been developed in the literature. However, most of the improvements have not taken into account the interrelations among failure modes, and thus do not hold good for complex systems with many subsystems or components. Additionally, previous researches often evaluated the risk of failure modes by independently considering the risk factors occurrence (O), severity (S) and detection (D), although they are more likely to affect each other in actual situations. In this paper, we present a new systematic FMEA using a hybrid multiple criteria decision-making approach to enhance the risk assessment capability of the traditional FMEA. A numerical example is included to illustrate the proposed risk priority model and the results are compared with other existing methods to further demonstrate its advantages.

Journal

Total Quality Management & Business ExcellenceTaylor & Francis

Published: Apr 3, 2019

Keywords: failure mode and effect analysis; DEMATEL; AHP; multiple criteria decision-making

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