Use of fuzzy FMEA for health risk assessment: A Moroccan case study

Amine En-Naaoui, Aicha Aguezzoul (), Sara El Haimer and Mohammed Kaicer
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Amine En-Naaoui: UIT - Université Ibn Tofaïl
Aicha Aguezzoul: CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine
Sara El Haimer: UIT - Université Ibn Tofaïl
Mohammed Kaicer: UIT - Université Ibn Tofaïl

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Abstract: in last decades, numerous health care organizations have adopted risk management as adevice to mitigate and avoid unwanted events. A performant risk management requires an effective riskassessment in order to predict criticalities of associated risks. Several tools are used to ensure riskassessment in health care. One of the most adopted methods to assess risks is the Failure Modes andEffects Analysis (FMEA) method. In this paper, we propose to use this method in a fuzzy logic context,namely fuzzy FMEA. The objective is to assess the health risks in the case of a sterilization unit inMorocco. A comparison between this method and classical FMEA is also presented.

Keywords: Risk assessment; FMEA; Fuzzy logic; Health care (search for similar items in EconPapers)
Date: 2022-07-06
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Published in GISEH: Conférence Francophone en Gestion et Ingénierie des Systèmes Hospitaliers, Jul 2022, Saint-Etienne, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04950133

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