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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2021-03-01
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Series: | Journal of Management Science and Engineering |
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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. |
first_indexed | 2024-12-14T22:32:25Z |
format | Article |
id | doaj.art-3f37893257194a58ba0e821c2c96ee10 |
institution | Directory Open Access Journal |
issn | 2096-2320 |
language | English |
last_indexed | 2024-12-14T22:32:25Z |
publishDate | 2021-03-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | Journal of Management Science and Engineering |
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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