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Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health

Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Prote...

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Autores principales: Xu, Qingwei, Xu, Kaili, Zhou, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178204/
https://www.ncbi.nlm.nih.gov/pubmed/32276454
http://dx.doi.org/10.3390/ijerph17072555
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author Xu, Qingwei
Xu, Kaili
Zhou, Fang
author_facet Xu, Qingwei
Xu, Kaili
Zhou, Fang
author_sort Xu, Qingwei
collection PubMed
description Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objective entropy weight method respectively. Then, to obtain the preference coefficient of the integrated weight more precisely, a new algorithm was proposed based on the least square method. Next, the safety level of the casting workshop was presented based on the qualitative and quantitative analysis of the cloud model, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account; the validity of cloud model evaluation was validated by grey relational analysis. In addition, cause and effect was used to proactively identify factors that may lead to accidents. LOPA was used to correlate corresponding safety measures to the identified risk factors. 6 causes and 19 sub-causes that may contribute to accidents were identified, and 18 potential remedies, or independent protection layers (IPLs), were described as ways to protect employee health in foundry operations. A mechanical manufacturing business in Hunan, China was considered as a case study to demonstrate the applicability and benefits of the proposed safety assessment approach.
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spelling pubmed-71782042020-04-28 Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health Xu, Qingwei Xu, Kaili Zhou, Fang Int J Environ Res Public Health Article Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objective entropy weight method respectively. Then, to obtain the preference coefficient of the integrated weight more precisely, a new algorithm was proposed based on the least square method. Next, the safety level of the casting workshop was presented based on the qualitative and quantitative analysis of the cloud model, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account; the validity of cloud model evaluation was validated by grey relational analysis. In addition, cause and effect was used to proactively identify factors that may lead to accidents. LOPA was used to correlate corresponding safety measures to the identified risk factors. 6 causes and 19 sub-causes that may contribute to accidents were identified, and 18 potential remedies, or independent protection layers (IPLs), were described as ways to protect employee health in foundry operations. A mechanical manufacturing business in Hunan, China was considered as a case study to demonstrate the applicability and benefits of the proposed safety assessment approach. MDPI 2020-04-08 2020-04 /pmc/articles/PMC7178204/ /pubmed/32276454 http://dx.doi.org/10.3390/ijerph17072555 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Qingwei
Xu, Kaili
Zhou, Fang
Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title_full Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title_fullStr Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title_full_unstemmed Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title_short Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
title_sort safety assessment of casting workshop by cloud model and cause and effect–lopa to protect employee health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178204/
https://www.ncbi.nlm.nih.gov/pubmed/32276454
http://dx.doi.org/10.3390/ijerph17072555
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