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An improved risk priority number model for FMEA based on belief measure
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Tang, Yongchuan, Tan, Shiting, Zhou, Ying, Huang, Yubo and Zhou, Deyun (2023) An improved risk priority number model for FMEA based on belief measure. In: 2023 35th Chinese Control and Decision Conference (CCDC), Yichang, China, 20-22 May 2023. Published in: Proceedings of the 35th Chinese Control and Decision Conference pp. 3940-3945. ISBN 9798350334722. doi:10.1109/ccdc58219.2023.10326506 ISSN 1948-9447.
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Official URL: https://doi.org/10.1109/ccdc58219.2023.10326506
Abstract
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.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
SWORD Depositor: | Library Publications Router | ||||
Journal or Publication Title: | Proceedings of the 35th Chinese Control and Decision Conference | ||||
Publisher: | IEEE | ||||
ISBN: | 9798350334722 | ||||
ISSN: | 1948-9447 | ||||
Official Date: | 1 December 2023 | ||||
Dates: |
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Page Range: | pp. 3940-3945 | ||||
DOI: | 10.1109/ccdc58219.2023.10326506 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2023 35th Chinese Control and Decision Conference (CCDC) | ||||
Type of Event: | Conference | ||||
Location of Event: | Yichang, China | ||||
Date(s) of Event: | 20-22 May 2023 |
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