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Failure Mode and Effects Analysis using a Fuzzy-TOPSIS Method: A Case Study of Subsea Control Module

Kolios, Athanasios J., Umofia, Anietie, Shafiee, Mahmood (2017) Failure Mode and Effects Analysis using a Fuzzy-TOPSIS Method: A Case Study of Subsea Control Module. International Journal of Multicriteria Decision Making, 7 (1). pp. 29-53. ISSN 2040-106X. E-ISSN 2040-1078. (doi:10.1504/IJMCDM.2017.085154) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79769)

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http://dx.doi.org/10.1504/IJMCDM.2017.085154

Abstract

Failure mode and effects analysis (FMEA) is one of the most common reliability engineering techniques used for identifying, evaluating and mitigating the engineering risks. In this paper, the potential failure modes of a subsea control module (SCM) are identified based on industry experts' opinions and experiences. This is followed by a comprehensive component based FMEA study using the risk-priority-number (RPN) where the most critical failure modes in the SCM are revealed. A fuzzy TOPSIS-based multiple criteria decision making methodology is then proposed to analyse and prioritise the most critical failure modes identified by the FMEA study. To this aim, a distinct ten-parameter criticality model is developed and, for the first time, is applied to evaluate the risks associated with SCM failures. The results indicate that the proposed fuzzy TOPSIS model can significantly improve the performance and applicability of the conventional FMEA technique in offshore oil and gas industry.

Item Type: Article
DOI/Identification number: 10.1504/IJMCDM.2017.085154
Uncontrolled keywords: Failure Mode and Effects Analysis; FMEA; Multiple-Criteria Decision Making; MCDM; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS); Subsea Control Module (SCM); Risk Assessment.
Subjects: T Technology > TJ Mechanical engineering and machinery
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 24 Jan 2020 09:51 UTC
Last Modified: 07 Feb 2020 17:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79769 (The current URI for this page, for reference purposes)
Shafiee, Mahmood: https://orcid.org/0000-0002-6122-5719
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