HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro

The aim of the article was to use HFMEA-Fuzzy modeling to evaluate the eight lean wastes and identify critical processes related to them. To achieve this, data was collected from an Emergency Care Unit (ECU) in Rio de Janeiro. The results showed that the Processing/Creativity waste was the most freq...

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Main Authors: Harvey José Santos Ribeiro Cosenza, Nilra do Amaral Mendes Silva, Maria do Carmo de Figueiredo Cisne, Ana Carolina Sanches Zeferino
Format: Article
Language:Spanish
Published: Faculdade Cesgranrio 2023-11-01
Series:Meta
Online Access:https://revistas.cesgranrio.org.br/index.php/metaavaliacao/article/view/4064
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author Harvey José Santos Ribeiro Cosenza
Nilra do Amaral Mendes Silva
Maria do Carmo de Figueiredo Cisne
Ana Carolina Sanches Zeferino
author_facet Harvey José Santos Ribeiro Cosenza
Nilra do Amaral Mendes Silva
Maria do Carmo de Figueiredo Cisne
Ana Carolina Sanches Zeferino
author_sort Harvey José Santos Ribeiro Cosenza
collection DOAJ
description The aim of the article was to use HFMEA-Fuzzy modeling to evaluate the eight lean wastes and identify critical processes related to them. To achieve this, data was collected from an Emergency Care Unit (ECU) in Rio de Janeiro. The results showed that the Processing/Creativity waste was the most frequent, followed by Defects, Waiting/Inventory, and Overproduction waste. Additionally, it was possible to identify critical processes related to each waste and suggest improvements to reduce or eliminate these wastes.
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spelling doaj.art-b91071d04d024affb32ab9e522f457962023-11-06T18:20:03ZspaFaculdade CesgranrioMeta2175-27532023-11-010013716710.22347/2175-2753v0i0.40641336HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de JaneiroHarvey José Santos Ribeiro Cosenza0Nilra do Amaral Mendes Silva1Maria do Carmo de Figueiredo Cisne2Ana Carolina Sanches Zeferino3Universidade Federal Fluminense - UFFUniversidade Federal Fluminense - UFFUniversidade Federal Fluminense - UFFUniversidade Federal Fluminense - UFFThe aim of the article was to use HFMEA-Fuzzy modeling to evaluate the eight lean wastes and identify critical processes related to them. To achieve this, data was collected from an Emergency Care Unit (ECU) in Rio de Janeiro. The results showed that the Processing/Creativity waste was the most frequent, followed by Defects, Waiting/Inventory, and Overproduction waste. Additionally, it was possible to identify critical processes related to each waste and suggest improvements to reduce or eliminate these wastes.https://revistas.cesgranrio.org.br/index.php/metaavaliacao/article/view/4064
spellingShingle Harvey José Santos Ribeiro Cosenza
Nilra do Amaral Mendes Silva
Maria do Carmo de Figueiredo Cisne
Ana Carolina Sanches Zeferino
HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
Meta
title HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
title_full HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
title_fullStr HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
title_full_unstemmed HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
title_short HFMEA-Fuzzy: evaluation of the main lean wastes in an Emergency Care Unit (ECU) in Rio de Janeiro
title_sort hfmea fuzzy evaluation of the main lean wastes in an emergency care unit ecu in rio de janeiro
url https://revistas.cesgranrio.org.br/index.php/metaavaliacao/article/view/4064
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