Optimization model for unloading import containers
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/1615 |
Resumo: | Highlights: Brazil's economy is very dependent on ports, which serve as the entry and exit of goods via cargo imports and exports. The use of containers has made handling operations in ports easier, increasing the speed of transport and efficiency of the handling process. Because of this, containerization is an innovation in general cargo services, bringing increases in company sites and building large terminals specializing in container handling. However, the internal handling of import containers entails operational costs for the port terminals. To apply a mathematical model to optimize the unloading of import containers, to define the optimal fleet for the process of the company under study. The purpose of the research is described as diagnostic research. As for the type of research, the study is classified as qualitative research. In terms of design, the research is a case study. The analysis technique consists of using in-process modelling and simulation. Modelling and simulation are used in a port logistics context. Through simulation, the number of trucks carrying out transportation was adjusted, demonstrating the ideal amount of vehicles for the terminal's demand. As a result, it was observed that operational research can help in the adjustment of the company's process. This study presents as a limitation the simulation with other equipment that involves the unloading process of import containers, limiting itself only to yard tractors. It is suggested to increase the number of pieces of equipment that involve the unloading process, such as gantry cranes, to verify if there is a decrease in the unloading process time of import containers. To demonstrate that simulation can serve as a tool that helps decision-makers, as well as, be applied in a port process. |
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Optimization model for unloading import containersModelo de optimización para descargar contenedores de importaciónModelo de otimização para descarga de contêineres de importaçãoHighlights: Brazil's economy is very dependent on ports, which serve as the entry and exit of goods via cargo imports and exports. The use of containers has made handling operations in ports easier, increasing the speed of transport and efficiency of the handling process. Because of this, containerization is an innovation in general cargo services, bringing increases in company sites and building large terminals specializing in container handling. However, the internal handling of import containers entails operational costs for the port terminals. To apply a mathematical model to optimize the unloading of import containers, to define the optimal fleet for the process of the company under study. The purpose of the research is described as diagnostic research. As for the type of research, the study is classified as qualitative research. In terms of design, the research is a case study. The analysis technique consists of using in-process modelling and simulation. Modelling and simulation are used in a port logistics context. Through simulation, the number of trucks carrying out transportation was adjusted, demonstrating the ideal amount of vehicles for the terminal's demand. As a result, it was observed that operational research can help in the adjustment of the company's process. This study presents as a limitation the simulation with other equipment that involves the unloading process of import containers, limiting itself only to yard tractors. It is suggested to increase the number of pieces of equipment that involve the unloading process, such as gantry cranes, to verify if there is a decrease in the unloading process time of import containers. To demonstrate that simulation can serve as a tool that helps decision-makers, as well as, be applied in a port process.- Aspectos destacados: La economía de Brasil depende en gran medida de los puertos, que sirven como entrada y salida de mercancías a través de la importación y exportación de carga. El uso de contenedores facilitó las operaciones de manipulación en los puertos, aumentando la velocidad de transporte y la eficiencia del proceso de manipulación. En vista de esto, la contenedorización es una innovación en los servicios generales de carga, que trae un aumento en las áreas de las empresas y la construcción de grandes terminales especializadas en el manejo de contenedores. Sin embargo, el movimiento interno de los contenedores de importación genera costos operativos para las terminales portuarias. - Objetivo: aplicar un modelo matemático para optimizar la descarga de contenedores de importación, con el fin de definir la flota ideal para el proceso de la empresa en estudio. - Diseño / Metodología / Enfoque: El propósito de la investigación se describe como investigación-diagnóstico. En cuanto al tipo de investigación, el estudio se ajusta como una investigación cualitativa. En cuanto al diseño, la investigación es un estudio de caso. La técnica de análisis consiste en utilizar el modelado en el proceso y la simulación. El modelado y la simulación se utilizan en un contexto logístico portuario. - Resultados: a través de la simulación, se ajustó la cantidad de camiones que realizan el transporte, lo que demuestra la cantidad ideal de vehículos para la demanda de la terminal. Como resultado, se observó que la investigación operativa puede ayudar a ajustar el proceso en la empresa. - Limitaciones de la investigación: este estudio presenta, como limitación, la realización de la simulación con otro equipo que involucra el proceso de descarga de contenedores de importación, limitado solo a tractores de patio. - Implicaciones prácticas: se sugiere aumentar el número de equipos que implican el proceso de descarga, como grúas, para verificar si hay una reducción en el proceso de descarga del contenedor de importación. - Originalidad / valor: demuestre que la simulación puede servir como una herramienta que ayuda a los tomadores de decisiones, así como a ser aplicada en un proceso portuario.- Destaques: A economia do Brasil é muito dependente dos portos, que servem como entrada e saída de mercadorias via importação e exportação de cargas. O uso de contêineres tornou mais fácil as operações de manipulação em portos, aumentando a velocidade de transporte e eficiência do processo de movimentação. À vista disso, a conteinerização é uma inovação nos serviços de carga geral, trazendo aumento nas áreas das empresas e construindo grandes terminais especializados em movimentação de contêineres. Contudo, a movimentação interna de contêineres de importações acarreta em custos operacionais para os terminais portuários. - Objetivo: Aplicar um modelo matemático para otimizar a descarga de contêineres de importação, a fim de definir a frota ideal para o processo da empresa em estudo. - Desenho/Metodologia/Abordagem: O propósito da pesquisa é descrito como pesquisa-diagnostico. Quanto ao tipo de pesquisa, o estudo se enquadra como pesquisa qualitativa. No que tange o delineamento, a pesquisa é um estudo de caso. A técnica de análise consiste na utilização da modelagem no processo e simulação. São utilizadas a modelagem e simulação em um contexto logístico portuário. - Resultados: Através da simulação, foi ajustado o número de caminhões que realizam o transporte, demonstrando a quantidade ideal de veículos para a demanda do terminal. Como resultado, observou-se que a pesquisa operacional pode auxiliar no ajuste do processo na empresa. - Limitações da investigação: Este estudo apresenta como limitação, a realização da simulação com outros equipamentos que envolvem o processo de descarga de contêineres de importação, limitando-se apenas a tratores de pátio. - Implicações práticas: Sugere-se aumentar o número de equipamentos que envolvem o processo de descarga, como guindastes pórtico de rodagem, a fim de verificar se há diminuição do tempo de processo de descarga de contêineres de importação. - Originalidade/valor: Demostrar que a simulação pode servir como uma ferramenta que auxilia os tomadores de decisão, bem como, ser aplicada em um processo portuário.ABEC2021-05-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfapplication/epub+ziptext/htmlapplication/pdfapplication/epub+ziphttps://www.revistasg.uff.br/sg/article/view/161510.20985/1980-5160.2021.v16n1.1615Sistemas & Gestão; v. 16 n. 1 (2021): ABRIL 2021; 11-181980-516010.20985/1980-5160.2021.v16n1reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1615/1395https://www.revistasg.uff.br/sg/article/view/1615/1364https://www.revistasg.uff.br/sg/article/view/1615/1396https://www.revistasg.uff.br/sg/article/view/1615/1397https://www.revistasg.uff.br/sg/article/view/1615/1377https://www.revistasg.uff.br/sg/article/view/1615/1398Copyright (c) 2021 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessLongaray, André AndradeLuiz Silva do Amaral, MárcioAdamoli Amaral, ThauaneAntonio Gonçalves Tondolo, Vilmar2021-07-08T12:58:17Zoai:ojs.www.revistasg.uff.br:article/1615Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2021-07-08T12:58:17Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
Optimization model for unloading import containers Modelo de optimización para descargar contenedores de importación Modelo de otimização para descarga de contêineres de importação |
title |
Optimization model for unloading import containers |
spellingShingle |
Optimization model for unloading import containers Longaray, André Andrade |
title_short |
Optimization model for unloading import containers |
title_full |
Optimization model for unloading import containers |
title_fullStr |
Optimization model for unloading import containers |
title_full_unstemmed |
Optimization model for unloading import containers |
title_sort |
Optimization model for unloading import containers |
author |
Longaray, André Andrade |
author_facet |
Longaray, André Andrade Luiz Silva do Amaral, Márcio Adamoli Amaral, Thauane Antonio Gonçalves Tondolo, Vilmar |
author_role |
author |
author2 |
Luiz Silva do Amaral, Márcio Adamoli Amaral, Thauane Antonio Gonçalves Tondolo, Vilmar |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Longaray, André Andrade Luiz Silva do Amaral, Márcio Adamoli Amaral, Thauane Antonio Gonçalves Tondolo, Vilmar |
description |
Highlights: Brazil's economy is very dependent on ports, which serve as the entry and exit of goods via cargo imports and exports. The use of containers has made handling operations in ports easier, increasing the speed of transport and efficiency of the handling process. Because of this, containerization is an innovation in general cargo services, bringing increases in company sites and building large terminals specializing in container handling. However, the internal handling of import containers entails operational costs for the port terminals. To apply a mathematical model to optimize the unloading of import containers, to define the optimal fleet for the process of the company under study. The purpose of the research is described as diagnostic research. As for the type of research, the study is classified as qualitative research. In terms of design, the research is a case study. The analysis technique consists of using in-process modelling and simulation. Modelling and simulation are used in a port logistics context. Through simulation, the number of trucks carrying out transportation was adjusted, demonstrating the ideal amount of vehicles for the terminal's demand. As a result, it was observed that operational research can help in the adjustment of the company's process. This study presents as a limitation the simulation with other equipment that involves the unloading process of import containers, limiting itself only to yard tractors. It is suggested to increase the number of pieces of equipment that involve the unloading process, such as gantry cranes, to verify if there is a decrease in the unloading process time of import containers. To demonstrate that simulation can serve as a tool that helps decision-makers, as well as, be applied in a port process. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1615 10.20985/1980-5160.2021.v16n1.1615 |
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https://www.revistasg.uff.br/sg/article/view/1615 |
identifier_str_mv |
10.20985/1980-5160.2021.v16n1.1615 |
dc.language.iso.fl_str_mv |
por eng |
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por eng |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1615/1395 https://www.revistasg.uff.br/sg/article/view/1615/1364 https://www.revistasg.uff.br/sg/article/view/1615/1396 https://www.revistasg.uff.br/sg/article/view/1615/1397 https://www.revistasg.uff.br/sg/article/view/1615/1377 https://www.revistasg.uff.br/sg/article/view/1615/1398 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Sistemas & Gestão info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Sistemas & Gestão |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf application/epub+zip text/html application/pdf application/epub+zip |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 16 n. 1 (2021): ABRIL 2021; 11-18 1980-5160 10.20985/1980-5160.2021.v16n1 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
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UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
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1798320145032019968 |