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Risk analysis of engineering systems for sustainable industrial development using the Taguchi approach.

Authors :
Emovon, Ikuobase
Norman, Rosemary
Source :
Journal of Quality in Maintenance Engineering. 2020, Vol. 26 Issue 4, p611-624. 14p.
Publication Year :
2020

Abstract

Purpose: One of the key elements of a maintenance system is risk analysis because the risk level of an engineering system will determine the maintenance policy required. Failure Mode and Effect Analysis (FMEA) is widely applied in evaluating risk of failure of engineering systems. However, the conventional FMEA used in analyzing risk by most industries has shortcomings such as an inability to utilize imprecise and interval data in prioritizing risk. To overcome these limitations, different variants of FMEA have been reported in the literature. However, these modified approaches are computationally intensive; hence, the purpose of this paper is to develop an efficient FMEA-based methodology that is easy to analyze and implement. Design/methodology/approach: The proposed technique combines the Taguchi method with FMEA in order to analyze risk of engineering systems easily and effectively. The effectiveness of the approach is demonstrated with a case study of the fuel oil system of a marine diesel engine. Findings: The results of the integrated Taguchi method and FMEA, when compared with well-known techniques, namely, VIKOR and compromise programming, from the literature are very similar. From the comparative analysis, it was evident that the proposed method is a viable option to the more computationally intensive approaches used in the literature. Originality/value: The approach proposed is novel and simple and can be implemented more easily than approaches from the literature in analyzing risk. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13552511
Volume :
26
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Quality in Maintenance Engineering
Publication Type :
Academic Journal
Accession number :
145435065
Full Text :
https://doi.org/10.1108/JQME-06-2019-0060