Version 1
: Received: 24 October 2024 / Approved: 25 October 2024 / Online: 25 October 2024 (10:44:13 CEST)
How to cite:
Anes, V.; Abreu, A. A Hybrid FMEA-ROC-COCOSO Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization. Preprints2024, 2024102003. https://doi.org/10.20944/preprints202410.2003.v1
Anes, V.; Abreu, A. A Hybrid FMEA-ROC-COCOSO Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization. Preprints 2024, 2024102003. https://doi.org/10.20944/preprints202410.2003.v1
Anes, V.; Abreu, A. A Hybrid FMEA-ROC-COCOSO Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization. Preprints2024, 2024102003. https://doi.org/10.20944/preprints202410.2003.v1
APA Style
Anes, V., & Abreu, A. (2024). A Hybrid FMEA-ROC-COCOSO Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization. Preprints. https://doi.org/10.20944/preprints202410.2003.v1
Chicago/Turabian Style
Anes, V. and António Abreu. 2024 "A Hybrid FMEA-ROC-COCOSO Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization" Preprints. https://doi.org/10.20944/preprints202410.2003.v1
Abstract
This paper proposes a novel hybrid model that integrates Failure Mode and Effects Analysis (FMEA), Rank Order Centroid (ROC) and COmbined COmpromise SOlution (COCOSO) to improve risk assessment and prioritization of failure modes. A case study in the healthcare sector will be conducted to validate the effectiveness of the proposed model. ROC is used to assign weights to the FMEA criteria (severity, occurrence and detectability). COCOSO is then applied to create a robust ranking of failure modes by considering multiple criteria simultaneously. The results of the case study show that the hybrid FMEA-ROC-COCOSO model improves the accuracy and objectivity of risk prioritization. It effectively identifies critical failure modes, outperforming traditional FMEA. The hybrid approach not only improves risk management decision making, leading to better mitigation strategies and higher system reliability, but also reduces the complexity typically found in FMEA hybrid models. This model provides a more comprehensive risk assessment tool suitable for application in different industries.
Engineering, Safety, Risk, Reliability and Quality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
