TY - GEN
T1 - An improved risk priority number model for FMEA based on belief measure
AU - Tang, Yongchuan
AU - Tan, Shiting
AU - Zhou, Ying
AU - Huang, Yubo
AU - Zhou, Deyun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Decision making under uncertainty in risk analysis is a key issue in practical engineering. The risk priority number (RPN) model in failure mode and effects analysis (FMEA) is a widely used tool for ranking of risk items. However, there are limitations in the traditional RPN model. For example, it cannot represent the subjective or inaccurate judgements coming from FMEA experts. In addition, the uncertainty in the assessments of experts in FMEA item is not modelled and transformed to the RPN values. In this paper, a new risk priority number model based on belief Jensen-Shannon divergence measure and Deng entropy in Dempster-Shafer evidence theory is proposed. In the proposed method, the belief Jensen-Shannon divergence measure is adopted to effectively deal with the fuzziness and abnormal adjustment coming from all the FMEA experts. In addition, Deng entropy is used to quantify the uncertain degree of each expert and the result is modelled as a relative importance degree of expert. Dempster's combination rule is used to fuse experts' assessments of different failure modes to generate the integrated values of each risk factor. The rationality, superiority and effectiveness of the proposed RPN model are verified based on a case study of a production process in steel industry.
AB - Decision making under uncertainty in risk analysis is a key issue in practical engineering. The risk priority number (RPN) model in failure mode and effects analysis (FMEA) is a widely used tool for ranking of risk items. However, there are limitations in the traditional RPN model. For example, it cannot represent the subjective or inaccurate judgements coming from FMEA experts. In addition, the uncertainty in the assessments of experts in FMEA item is not modelled and transformed to the RPN values. In this paper, a new risk priority number model based on belief Jensen-Shannon divergence measure and Deng entropy in Dempster-Shafer evidence theory is proposed. In the proposed method, the belief Jensen-Shannon divergence measure is adopted to effectively deal with the fuzziness and abnormal adjustment coming from all the FMEA experts. In addition, Deng entropy is used to quantify the uncertain degree of each expert and the result is modelled as a relative importance degree of expert. Dempster's combination rule is used to fuse experts' assessments of different failure modes to generate the integrated values of each risk factor. The rationality, superiority and effectiveness of the proposed RPN model are verified based on a case study of a production process in steel industry.
KW - belief Jensen-Shannon divergence measure
KW - Dempster-Shafer evidence theory
KW - Failure mode and effects analysis
KW - risk priority number
KW - uncertainty management
UR - http://www.scopus.com/inward/record.url?scp=85181827626&partnerID=8YFLogxK
U2 - 10.1109/CCDC58219.2023.10326506
DO - 10.1109/CCDC58219.2023.10326506
M3 - 会议稿件
AN - SCOPUS:85181827626
T3 - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
SP - 3940
EP - 3945
BT - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th Chinese Control and Decision Conference, CCDC 2023
Y2 - 20 May 2023 through 22 May 2023
ER -