International Journal of Computational Intelligence Systems

Volume 10, Issue 1, 2017, Pages 1002 - 1015

Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method

Authors
*Corresponding author. E-mail address: huchenliu@foxmail.com (H.C. Liu).
Corresponding Author
Received 4 October 2016, Accepted 28 June 2017, Available Online 13 July 2017.
DOI
10.2991/ijcis.2017.10.1.67How to use a DOI?
Keywords
Failure mode and effect analysis; Soft sets; COPRAS method; Risk assessment
Abstract

Failure mode and effect analysis (FMEA) is a risk management technique frequently applied to enhance the system performance and safety. In recent years, many researchers have shown an intense interest in improving FMEA due to inherent weaknesses associated with the classical risk priority number (RPN) method. In this study, we develop a new risk ranking model for FMEA based on soft set theory and COPRAS method, which can deal with the limitations and enhance the performance of the conventional FMEA. First, trapezoidal fuzzy soft set is adopted to manage FMEA team members’ linguistic assessments on failure modes. Then, a modified COPRAS method is utilized for determining the ranking order of the failure modes recognized in FMEA. Especially, we treat the risk factors as interdependent and employ the Choquet integral to obtain the aggregate risk of failures in the new FMEA approach. Finally, a practical FMEA problem is analyzed via the proposed approach to demonstrate its applicability and effectiveness. The result shows that the FMEA model developed in this study outperforms the traditional RPN method and provides a more reasonable risk assessment of failure modes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1002 - 1015
Publication Date
2017/07/13
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.67How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ze-Ling Wang
AU  - Jian-Xin You
AU  - Hu-Chen Liu
AU  - Song-Man Wu
PY  - 2017
DA  - 2017/07/13
TI  - Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method
JO  - International Journal of Computational Intelligence Systems
SP  - 1002
EP  - 1015
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.67
DO  - 10.2991/ijcis.2017.10.1.67
ID  - Wang2017
ER  -