Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review

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The article applies genetic algorithms as a tool of artificial intelligence that provides optimal solutions to the problem of vehicle routing in the distribution chain by transport companies. The main problem in the food sector is transporting perishable goods with low life expectancy. The methodolo...

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Detalles Bibliográficos
Autor: Ayre Rosales, Dylan Anndrei
Formato: tesis de grado
Fecha de Publicación:2024
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/20263
Enlace del recurso:https://hdl.handle.net/20.500.12724/20263
Nivel de acceso:acceso abierto
Materia:Transporte de alimentos
Algoritmos genéticos
Asignación de vías
Estimación de tráfico
Revisión bibliográfica
Transportation food
Genetic algorithms
Traffic assignment
Traffic estimation
Bibliographical revision
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.en_EN.fl_str_mv Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
title Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
spellingShingle Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
Ayre Rosales, Dylan Anndrei
Transporte de alimentos
Algoritmos genéticos
Asignación de vías
Estimación de tráfico
Revisión bibliográfica
Transportation food
Genetic algorithms
Traffic assignment
Traffic estimation
Bibliographical revision
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
title_full Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
title_fullStr Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
title_full_unstemmed Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
title_sort Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
author Ayre Rosales, Dylan Anndrei
author_facet Ayre Rosales, Dylan Anndrei
author_role author
dc.contributor.advisor.fl_str_mv Flores Pérez, Alberto Enrique
dc.contributor.author.fl_str_mv Ayre Rosales, Dylan Anndrei
dc.subject.es_PE.fl_str_mv Transporte de alimentos
Algoritmos genéticos
Asignación de vías
Estimación de tráfico
Revisión bibliográfica
topic Transporte de alimentos
Algoritmos genéticos
Asignación de vías
Estimación de tráfico
Revisión bibliográfica
Transportation food
Genetic algorithms
Traffic assignment
Traffic estimation
Bibliographical revision
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.en_EN.fl_str_mv Transportation food
Genetic algorithms
Traffic assignment
Traffic estimation
Bibliographical revision
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description The article applies genetic algorithms as a tool of artificial intelligence that provides optimal solutions to the problem of vehicle routing in the distribution chain by transport companies. The main problem in the food sector is transporting perishable goods with low life expectancy. The methodology used for the present work was a systematic literature review focused on applying genetic algorithms in transport companies. To achieve this goal, a massive search was made in Scopus, Web of Science, and Proquest databases. A total of 60 articles were compiled for this document. For the study of the extracted articles, they were categorized into three factors: total costs in distribution, profitability, and delivery times. For the findings section, the use of Vosviewer software was used. The use of this software allowed us to demonstrate that genetic algorithms would have a positive influence on each of the factors mentioned
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-04-22T17:14:51Z
dc.date.available.none.fl_str_mv 2024-04-22T17:14:51Z
dc.date.issued.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.other.none.fl_str_mv Tesis
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dc.identifier.citation.es_PE.fl_str_mv Ayre Rosales, D. A. (2024). Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20263
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/20263
dc.identifier.isni.none.fl_str_mv 121541816
identifier_str_mv Ayre Rosales, D. A. (2024). Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20263
121541816
url https://hdl.handle.net/20.500.12724/20263
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.fl_str_mv SUNEDU
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dc.publisher.none.fl_str_mv Universidad de Lima
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publisher.none.fl_str_mv Universidad de Lima
dc.source.none.fl_str_mv Repositorio Institucional - Ulima
Universidad de Lima
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instacron:ULIMA
instname_str Universidad de Lima
instacron_str ULIMA
institution ULIMA
reponame_str ULIMA-Institucional
collection ULIMA-Institucional
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spelling Flores Pérez, Alberto EnriqueAyre Rosales, Dylan Anndrei2024-04-22T17:14:51Z2024-04-22T17:14:51Z2024Ayre Rosales, D. A. (2024). Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20263https://hdl.handle.net/20.500.12724/20263121541816The article applies genetic algorithms as a tool of artificial intelligence that provides optimal solutions to the problem of vehicle routing in the distribution chain by transport companies. The main problem in the food sector is transporting perishable goods with low life expectancy. The methodology used for the present work was a systematic literature review focused on applying genetic algorithms in transport companies. To achieve this goal, a massive search was made in Scopus, Web of Science, and Proquest databases. A total of 60 articles were compiled for this document. For the study of the extracted articles, they were categorized into three factors: total costs in distribution, profitability, and delivery times. For the findings section, the use of Vosviewer software was used. The use of this software allowed us to demonstrate that genetic algorithms would have a positive influence on each of the factors mentionedEl artículo aplica algoritmos genéticos como herramienta de inteligencia artificial que proporciona soluciones óptimas al problema del ruteo de vehículos en la cadena de distribución por parte de las empresas de transporte. El principal problema del sector alimentario es el transporte de productos perecederos con una baja esperanza de vida. La metodología utilizada para el presente trabajo fue una revisión sistemática de la literatura centrada en la aplicación de algoritmos genéticos en empresas de transporte. Para lograr este objetivo se realizó una búsqueda masiva en las bases de datos Scopus, Web of Science y Proquest. Para este documento se recopilaron un total de 60 artículos. Para el estudio de los artículos extraídos, se categorizaron en tres factores: costos totales en distribución, rentabilidad y tiempos de entrega. Para la sección de hallazgos se utilizó el software Vosviewer. El uso de este software permitió demostrar que los algoritmos genéticos tendrían una influencia positiva en cada uno de los factores mencionados.application/pdfengUniversidad de LimaPEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMATransporte de alimentosAlgoritmos genéticosAsignación de víasEstimación de tráficoRevisión bibliográficaTransportation foodGenetic algorithmsTraffic assignmentTraffic estimationBibliographical revisionhttps://purl.org/pe-repo/ocde/ford#2.11.04Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature reviewinfo:eu-repo/semantics/bachelorThesisTesisSUNEDUTítulo ProfesionalIngeniería IndustrialUniversidad de Lima. Facultad de IngenieríaIngeniero Industrialhttps://orcid.org/0000-0003-0813-0662927881672202671403028https://purl.org/pe-repo/renati/level#tituloProfesionalQuiroz Flores, Juan CarlosTaquía Gutiérrez, José AntonioFlores Pérez, Alberto Enriquehttps://purl.org/pe-repo/renati/type#tesis015ORIGINALT018_71403028_T .pdfT018_71403028_T .pdfTesisapplication/pdf571471https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/1/T018_71403028_T%20.pdf269d577ac50f25516d3b3a4fc6c1ef09MD51FA_71403028_SR .pdfFA_71403028_SR .pdfAutorizaciónapplication/pdf214500https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/2/FA_71403028_SR%20.pdf32dfe1ee227ca8f34cde6738c2181e9bMD52TURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdfTURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdfReporte de similitudapplication/pdf3235558https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/3/TURNITIN_AYRE%20ROSALES%20DYLAN%20ANNDREI_20170131%20.pdf965805dd41ab8a6c19bf53467d8d8ef4MD53TEXTT018_71403028_T .pdf.txtT018_71403028_T .pdf.txtExtracted texttext/plain49823https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/4/T018_71403028_T%20.pdf.txt3ea7ad926bb9517fd8a8a3fa1f9e8ffbMD54FA_71403028_SR .pdf.txtFA_71403028_SR .pdf.txtExtracted texttext/plain2537https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/6/FA_71403028_SR%20.pdf.txt758922ec7de1e1558edde805b8b96ac3MD56TURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdf.txtTURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdf.txtExtracted texttext/plain1799https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/8/TURNITIN_AYRE%20ROSALES%20DYLAN%20ANNDREI_20170131%20.pdf.txt74de9da9d1602a81c238f8051c3b378cMD58THUMBNAILT018_71403028_T .pdf.jpgT018_71403028_T .pdf.jpgGenerated Thumbnailimage/jpeg10305https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/5/T018_71403028_T%20.pdf.jpgc483d17249837b036e474c0cc61c4d60MD55FA_71403028_SR .pdf.jpgFA_71403028_SR .pdf.jpgGenerated Thumbnailimage/jpeg15833https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/7/FA_71403028_SR%20.pdf.jpg6e397a1244e87fc6e60be672e58d84ccMD57TURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdf.jpgTURNITIN_AYRE ROSALES DYLAN ANNDREI_20170131 .pdf.jpgGenerated Thumbnailimage/jpeg6769https://repositorio.ulima.edu.pe/bitstream/20.500.12724/20263/9/TURNITIN_AYRE%20ROSALES%20DYLAN%20ANNDREI_20170131%20.pdf.jpg98f78da9f4e58d9765eef0b3a80bd461MD5920.500.12724/20263oai:repositorio.ulima.edu.pe:20.500.12724/202632024-12-06 17:31:38.713Repositorio Universidad de Limarepositorio@ulima.edu.pe
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Application of genetic algorithms to optimize distribution in food transport companies: a systematic literature review
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