首页|An information fusion FMEA method to assess the risk of healthcare waste

An information fusion FMEA method to assess the risk of healthcare waste

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Healthcare waste (HCW) management plays a vital role in the development of modern society. In HCW management, failure mode and effects analysis (FMEA) is a popular method to implement risk management for improving the quality of healthcare. However, the shortcomings of the traditional FMEA method have been widely discussed in litera-tures. This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability. The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers. Meanwhile, the interval probability comparison method is applied to analyze failure modes. Finally, a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.

Healthcare waste managementFailure mode and effect analysisHeterogeneous information fusionInterval probability

Linhan Ouyang、Yige Zhu、Wei Zheng、Lin Yan

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Department of Management Science and Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,China

This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaNatural Science Foundation for Jiangsu InstitutionsChina Postdoctoral Science FoundationChina Postdoctoral Science Foundation

Nos.7193100671702072BK201708102019T1204292017M611808

2021

管理科学学报(英文)

管理科学学报(英文)

ISSN：2096-2320
年,卷(期)：2021.6(1)
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