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