Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas

Detalhes bibliográficos
Autor(a) principal: Melo, Diego Jean de
Data de Publicação: 2022
Outros Autores: Silva, Laila Alves da, Paiva, Anderson Paulo de, Quinino, Roberto da Costa
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Brazilian Journal of Production Engineering
Texto Completo: https://periodicos.ufes.br/bjpe/article/view/37577
Resumo: Agriculture is one of the most important segments in the world economy, responsible for leveraging the GDP of many countries such as China, Brazil, India and the United States. With such great representation, the development and application of improvement tools in this segment becomes highly relevant. In this sense, this article aims to present the application of Statistical Process Control (SPC) integrated with the concept of Industry 4.0 to reduce process losses in a packaging line of a fruit growing company. Of the tools that make up the CEP, the capacity analysis and the I-MR control chart were integrated into a digital and online system in order to analyze the suitability of the process with the customer's expectations. The results of the application of the system were the reduction in the loss of packages with weight outside the specification standards, having a reduction of the average of the packaged weight in 8.10%, and deviation from the average of the process to the target of only 0.17% . The process has also become more robust, with a standard deviation reduction of 68.33%. Thus, it is possible to conclude the efficiency of the application of the CEP with a digital system to obtain better results in agricultural processes.
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spelling Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutasAplicação e sistematização do controle estatístico do processo em uma linha de embalagem de frutasApplication and systematization of statistical process control in a fruit packaging line AgronegócioCapacidade de ProcessoGráfico de ControleCEPIndustria 4.0AgribusinessProcess CapabilityControl ChartSPCIndustry 4.0AgriculturaCapacidad de procesamientoTabla de controlficha técnicaIndustria 4.0Agriculture is one of the most important segments in the world economy, responsible for leveraging the GDP of many countries such as China, Brazil, India and the United States. With such great representation, the development and application of improvement tools in this segment becomes highly relevant. In this sense, this article aims to present the application of Statistical Process Control (SPC) integrated with the concept of Industry 4.0 to reduce process losses in a packaging line of a fruit growing company. Of the tools that make up the CEP, the capacity analysis and the I-MR control chart were integrated into a digital and online system in order to analyze the suitability of the process with the customer's expectations. The results of the application of the system were the reduction in the loss of packages with weight outside the specification standards, having a reduction of the average of the packaged weight in 8.10%, and deviation from the average of the process to the target of only 0.17% . The process has also become more robust, with a standard deviation reduction of 68.33%. Thus, it is possible to conclude the efficiency of the application of the CEP with a digital system to obtain better results in agricultural processes.A agricultura é um dos segmentos mais importante na economia mundial, responsável por alavancar o PIB de muitos países como China, Brasil, Índia e Estados Unidos. Com tal grande representatividade, o desenvolvimento e aplicação de ferramentas de melhoria nesse seguimento se torna altamente relevante. Neste sentido, o presente artigo tem como objetivo apresentar a aplicação do Controle Estatístico do Processos (CEP) integrado com o conceito de Industria 4.0 para reduzir perdas de processo em uma linha de embalagem de uma empresa de fruticultura. Das ferramentas que compõe o CEP foram utilizadas a análise de capacidade e o gráfico de controle I-MR integradas em um sistema digital e online a fim de analisar a adequação do processo com as expectativas do cliente. Os resultados da aplicação do sistema foi a redução na perda por embalagens com peso fora dos padrões de especificação, tendo uma redução da média do peso embalado em 8,10%, e desvio da média do processo para o alvo de apenas 0,17%. O processo também se tornou mais robusto, com uma redução do desvio padrão em 68,33%. Assim é possível concluir a eficiência da aplicação do CEP com um sistema digital para obtenção melhores resultados nos processos agrícolas.La agricultura es uno de los segmentos más importantes de la economía mundial, responsable de apalancar el PIB de muchos países como China, Brasil, India y Estados Unidos. Con tan gran representatividad, el desarrollo y aplicación de herramientas de mejora en este segmento cobra gran relevancia. En este sentido, este artículo tiene como objetivo presentar la aplicación del Control Estadístico de Procesos (SPC) integrado con el concepto de Industria 4.0 para reducir las pérdidas de proceso en una línea de envasado de una empresa frutícola. De las herramientas que componen el CEP, se integró a un sistema digital y en línea el análisis de capacidad y el cuadro de control I-MR para analizar la adecuación del proceso con las expectativas del cliente. Los resultados de la aplicación del sistema fueron la reducción de la pérdida de paquetes con peso fuera de los estándares de especificación, teniendo una reducción del promedio del peso del paquete en 8.10%, y desviación del promedio del proceso a la meta de solo 0.17% . El proceso también se ha vuelto más robusto, con una reducción de la desviación estándar del 68,33 %. Así, es posible concluir la eficiencia de la aplicación del CEP con un sistema digital para obtener mejores resultados en los procesos agrícolas. Universidade Federal do Espírito Santo - UFES2022-07-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos paresapplication/pdfimage/jpegimage/jpeghttps://periodicos.ufes.br/bjpe/article/view/3757710.47456/bjpe.v8i4.37577Brazilian Journal of Production Engineering; Vol. 8 No. 4 (2022): Número Regular (Julho - Setembro); 01-18Brazilian Journal of Production Engineering; Vol. 8 Núm. 4 (2022): Número Regular (Julho - Setembro); 01-18Brazilian Journal of Production Engineering; v. 8 n. 4 (2022): Número Regular (Julho - Setembro); 01-182447-558010.47456/bjpe.v8i4reponame:Brazilian Journal of Production Engineeringinstname:Universidade Federal do Espírito Santo (UFES)instacron:UFESporenghttps://periodicos.ufes.br/bjpe/article/view/37577/25294https://periodicos.ufes.br/bjpe/article/view/37577/25295https://periodicos.ufes.br/bjpe/article/view/37577/25296Copyright (c) 2022 Brazilian Journal of Production Engineeringhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessMelo, Diego Jean deSilva, Laila Alves daPaiva, Anderson Paulo deQuinino, Roberto da Costa2022-09-30T00:18:24Zoai:periodicos.ufes.br:article/37577Revistahttps://periodicos.ufes.br/bjpePUBhttps://periodicos.ufes.br/bjpe/oairodrigo.r.freitas@ufes.br2447-55802447-5580opendoar:2023-01-13T10:36:38.586745Brazilian Journal of Production Engineering - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
Aplicação e sistematização do controle estatístico do processo em uma linha de embalagem de frutas
Application and systematization of statistical process control in a fruit packaging line
title Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
spellingShingle Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
Melo, Diego Jean de
Agronegócio
Capacidade de Processo
Gráfico de Controle
CEP
Industria 4.0
Agribusiness
Process Capability
Control Chart
SPC
Industry 4.0
Agricultura
Capacidad de procesamiento
Tabla de control
ficha técnica
Industria 4.0
title_short Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
title_full Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
title_fullStr Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
title_full_unstemmed Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
title_sort Aplicación y sistematización del control estadístico de proceso (cep) en una línea de empaque de frutas
author Melo, Diego Jean de
author_facet Melo, Diego Jean de
Silva, Laila Alves da
Paiva, Anderson Paulo de
Quinino, Roberto da Costa
author_role author
author2 Silva, Laila Alves da
Paiva, Anderson Paulo de
Quinino, Roberto da Costa
author2_role author
author
author
dc.contributor.author.fl_str_mv Melo, Diego Jean de
Silva, Laila Alves da
Paiva, Anderson Paulo de
Quinino, Roberto da Costa
dc.subject.por.fl_str_mv Agronegócio
Capacidade de Processo
Gráfico de Controle
CEP
Industria 4.0
Agribusiness
Process Capability
Control Chart
SPC
Industry 4.0
Agricultura
Capacidad de procesamiento
Tabla de control
ficha técnica
Industria 4.0
topic Agronegócio
Capacidade de Processo
Gráfico de Controle
CEP
Industria 4.0
Agribusiness
Process Capability
Control Chart
SPC
Industry 4.0
Agricultura
Capacidad de procesamiento
Tabla de control
ficha técnica
Industria 4.0
description Agriculture is one of the most important segments in the world economy, responsible for leveraging the GDP of many countries such as China, Brazil, India and the United States. With such great representation, the development and application of improvement tools in this segment becomes highly relevant. In this sense, this article aims to present the application of Statistical Process Control (SPC) integrated with the concept of Industry 4.0 to reduce process losses in a packaging line of a fruit growing company. Of the tools that make up the CEP, the capacity analysis and the I-MR control chart were integrated into a digital and online system in order to analyze the suitability of the process with the customer's expectations. The results of the application of the system were the reduction in the loss of packages with weight outside the specification standards, having a reduction of the average of the packaged weight in 8.10%, and deviation from the average of the process to the target of only 0.17% . The process has also become more robust, with a standard deviation reduction of 68.33%. Thus, it is possible to conclude the efficiency of the application of the CEP with a digital system to obtain better results in agricultural processes.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufes.br/bjpe/article/view/37577
10.47456/bjpe.v8i4.37577
url https://periodicos.ufes.br/bjpe/article/view/37577
identifier_str_mv 10.47456/bjpe.v8i4.37577
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.ufes.br/bjpe/article/view/37577/25294
https://periodicos.ufes.br/bjpe/article/view/37577/25295
https://periodicos.ufes.br/bjpe/article/view/37577/25296
dc.rights.driver.fl_str_mv Copyright (c) 2022 Brazilian Journal of Production Engineering
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Brazilian Journal of Production Engineering
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
image/jpeg
image/jpeg
dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo - UFES
publisher.none.fl_str_mv Universidade Federal do Espírito Santo - UFES
dc.source.none.fl_str_mv Brazilian Journal of Production Engineering; Vol. 8 No. 4 (2022): Número Regular (Julho - Setembro); 01-18
Brazilian Journal of Production Engineering; Vol. 8 Núm. 4 (2022): Número Regular (Julho - Setembro); 01-18
Brazilian Journal of Production Engineering; v. 8 n. 4 (2022): Número Regular (Julho - Setembro); 01-18
2447-5580
10.47456/bjpe.v8i4
reponame:Brazilian Journal of Production Engineering
instname:Universidade Federal do Espírito Santo (UFES)
instacron:UFES
instname_str Universidade Federal do Espírito Santo (UFES)
instacron_str UFES
institution UFES
reponame_str Brazilian Journal of Production Engineering
collection Brazilian Journal of Production Engineering
repository.name.fl_str_mv Brazilian Journal of Production Engineering - Universidade Federal do Espírito Santo (UFES)
repository.mail.fl_str_mv rodrigo.r.freitas@ufes.br
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