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

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 ha...

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Main Authors: Linhan Ouyang, Yige Zhu, Wei Zheng, Lin Yan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-03-01
Series:Journal of Management Science and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096232021000019
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author Linhan Ouyang
Yige Zhu
Wei Zheng
Lin Yan
author_facet Linhan Ouyang
Yige Zhu
Wei Zheng
Lin Yan
author_sort Linhan Ouyang
collection DOAJ
description 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 literatures. 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.
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spelling doaj.art-3f37893257194a58ba0e821c2c96ee102022-12-21T22:45:13ZengKeAi Communications Co., Ltd.Journal of Management Science and Engineering2096-23202021-03-0161111124An information fusion FMEA method to assess the risk of healthcare wasteLinhan Ouyang0Yige Zhu1Wei Zheng2Lin Yan3Corresponding author.; Department of Management Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaDepartment of Management Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaDepartment of Management Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaDepartment of Management Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaHealthcare 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 literatures. 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.http://www.sciencedirect.com/science/article/pii/S2096232021000019Healthcare waste managementFailure mode and effect analysisHeterogeneous information fusionInterval probability
spellingShingle Linhan Ouyang
Yige Zhu
Wei Zheng
Lin Yan
An information fusion FMEA method to assess the risk of healthcare waste
Journal of Management Science and Engineering
Healthcare waste management
Failure mode and effect analysis
Heterogeneous information fusion
Interval probability
title An information fusion FMEA method to assess the risk of healthcare waste
title_full An information fusion FMEA method to assess the risk of healthcare waste
title_fullStr An information fusion FMEA method to assess the risk of healthcare waste
title_full_unstemmed An information fusion FMEA method to assess the risk of healthcare waste
title_short An information fusion FMEA method to assess the risk of healthcare waste
title_sort information fusion fmea method to assess the risk of healthcare waste
topic Healthcare waste management
Failure mode and effect analysis
Heterogeneous information fusion
Interval probability
url http://www.sciencedirect.com/science/article/pii/S2096232021000019
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