Browse by author
Lookup NU author(s): Dr Ikuobase Emovon, Dr Rosemary NormanORCiD, Dr Alan J Murphy
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Copyright © 2014 by ASME. Failure Mode Effect and Analysis (FMEA) is one of the most powerful techniques for performing risk analysis for marine machinery systems, with risk being quantified through evaluating Risk Priority Numbers (RPNs) for all failure modes of the systems. The RPN is traditionally evaluated as the product of three risk criteria; occurrence (O), severity (S) and Detection (D). FMEA has several limitations such as the challenge of aggregating experts' risk criteria rating that may be imprecise or incomplete. In this paper some of the limitations in the conventional FMEA technique are addressed using two approaches; AVeraging technique integrated with conventional Risk Priority Number (AVRPN) and AVeraging technique integrated with TOPSIS (AVTOPSIS). Both proposed techniques use a novel approach simple average in aggregating imprecise experts' risk criteria ratings. A case study illustrates the suitability of both techniques for use in risk prioritisation jointly or independently as the results generated by both techniques are very similar. Furthermore, the AVRPN technique has been applied to an example from the literature and it has been demonstrated to be both computationally simple and capable of producing results which almost completely match those generated by modified Dempster-Shafer evidence theory techniques.
Author(s): Emovon I, Norman RA, Murphy AJ
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering OMAE 2014
Year of Conference: 2014
Pages: OMAE2014-23267
Online publication date: 13/06/2014
Acceptance date: 01/01/1900
Publisher: American Society of Mechanical Engineers (ASME)
URL: https://doi.org/10.1115/OMAE2014-23267
DOI: 10.1115/OMAE2014-23267
Library holdings: Search Newcastle University Library for this item
ISBN: 9780791845424