Impact of operations research on improving the logistics efficiency of companies in Benguela
Descripción del Articulo
This research evaluated the impact of Operations Research in the optimization of logistics processes in companies in Benguela (Angola). Using a quantitative approach, representative companies from the logistics sector were selected and surveys and record analysis were applied to characterize their p...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2025 |
| Institución: | Universidad de Lima |
| Repositorio: | Revistas - Universidad de Lima |
| Lenguaje: | español |
| OAI Identifier: | oai:revistas.ulima.edu.pe:article/7411 |
| Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411 |
| Nivel de acceso: | acceso abierto |
| Materia: | operations research optimization mathematical models linear programming logistics investigación operativa optimización / modelos matemáticos programación lineal logística |
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Impact of operations research on improving the logistics efficiency of companies in BenguelaImpacto de la investigación operativa en la mejora de la eficiencia logística de las empresas en BenguelaLusende André , Nanikafuako Augusto Cruz Acosta, Robertooperations researchoptimizationmathematical modelslinear programminglogisticsinvestigación operativaoptimización /modelos matemáticosprogramación lineallogísticaThis research evaluated the impact of Operations Research in the optimization of logistics processes in companies in Benguela (Angola). Using a quantitative approach, representative companies from the logistics sector were selected and surveys and record analysis were applied to characterize their processes and detect areas for improvement. Mathematical models of linear programming, simulation and queuing theory were developed to optimize aspects such as route planning, inventory management and resource allocation, calibrated with real data. The results showed that the implementation of these solutions led to significant improvements in logistics efficiency, including reductions in transportation and storage costs, decreased delivery times, and increased product availability. In addition, opportunities were identified to minimize environmental impact through route optimization and cargo consolidation, thus evidencing Operational Research as a key tool for sustainability in this sector.En esta investigación se ha evaluado el impacto de la investigación operativa en la optimización de procesos logísticos en empresas de Benguela (Angola). Utilizando un enfoque cuantitativo, se seleccionaron empresas representativas del sector logístico y se aplicaron encuestas y análisis de registros para caracterizar sus procesos y detectar áreas de mejora. Se desarrollaron modelos matemáticos de programación lineal, simulación y teoría de colas para optimizar aspectos como la planificación de rutas, gestión de inventarios y asignación de recursos, y calibrados con datos reales. Los resultados mostraron que la implementación de estas soluciones condujo a mejoras significativas en la eficiencia logística, incluyendo reducciones en costos de transporte y almacenamiento, disminución de tiempos de entrega y aumento en la disponibilidad de productos. Además, se han identificado oportunidades para minimizar el impacto ambiental mediante la optimización de rutas y consolidación deUniversidad de Lima2025-06-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/741110.26439/ing.ind2025.n48.7411Ingeniería Industrial; No. 48 (2025); 15-38Ingeniería Industrial; Núm. 48 (2025); 15-382523-63261025-992910.26439/ing.ind2025.n48reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411/7736https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411/7737https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistas.ulima.edu.pe:article/74112025-06-11T18:56:34Z |
| dc.title.none.fl_str_mv |
Impact of operations research on improving the logistics efficiency of companies in Benguela Impacto de la investigación operativa en la mejora de la eficiencia logística de las empresas en Benguela |
| title |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| spellingShingle |
Impact of operations research on improving the logistics efficiency of companies in Benguela Lusende André , Nanikafuako Augusto operations research optimization mathematical models linear programming logistics investigación operativa optimización / modelos matemáticos programación lineal logística |
| title_short |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| title_full |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| title_fullStr |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| title_full_unstemmed |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| title_sort |
Impact of operations research on improving the logistics efficiency of companies in Benguela |
| dc.creator.none.fl_str_mv |
Lusende André , Nanikafuako Augusto Cruz Acosta, Roberto |
| author |
Lusende André , Nanikafuako Augusto |
| author_facet |
Lusende André , Nanikafuako Augusto Cruz Acosta, Roberto |
| author_role |
author |
| author2 |
Cruz Acosta, Roberto |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
operations research optimization mathematical models linear programming logistics investigación operativa optimización / modelos matemáticos programación lineal logística |
| topic |
operations research optimization mathematical models linear programming logistics investigación operativa optimización / modelos matemáticos programación lineal logística |
| description |
This research evaluated the impact of Operations Research in the optimization of logistics processes in companies in Benguela (Angola). Using a quantitative approach, representative companies from the logistics sector were selected and surveys and record analysis were applied to characterize their processes and detect areas for improvement. Mathematical models of linear programming, simulation and queuing theory were developed to optimize aspects such as route planning, inventory management and resource allocation, calibrated with real data. The results showed that the implementation of these solutions led to significant improvements in logistics efficiency, including reductions in transportation and storage costs, decreased delivery times, and increased product availability. In addition, opportunities were identified to minimize environmental impact through route optimization and cargo consolidation, thus evidencing Operational Research as a key tool for sustainability in this sector. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-06-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411 10.26439/ing.ind2025.n48.7411 |
| url |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411 |
| identifier_str_mv |
10.26439/ing.ind2025.n48.7411 |
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spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411/7736 https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7411/7737 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf text/html |
| dc.publisher.none.fl_str_mv |
Universidad de Lima |
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Universidad de Lima |
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Ingeniería Industrial; No. 48 (2025); 15-38 Ingeniería Industrial; Núm. 48 (2025); 15-38 2523-6326 1025-9929 10.26439/ing.ind2025.n48 reponame:Revistas - Universidad de Lima instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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ULIMA |
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ULIMA |
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Revistas - Universidad de Lima |
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Revistas - Universidad de Lima |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
