Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector
Descripción del Articulo
The lack of adequate infrastructure for most of the roads and routes in Peru, has generated a saturation of the roads and longer transport times, which affects the state health sector presenting frequent situations of shortages of medicines for urgent and emergency cases nationwide due to various fa...
Autores: | , |
---|---|
Formato: | tesis de grado |
Fecha de Publicación: | 2024 |
Institución: | Universidad de Lima |
Repositorio: | ULIMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/21099 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/21099 |
Nivel de acceso: | acceso abierto |
Materia: | Medicamentos Reparto de mercancías Drones Centros de salud https://purl.org/pe-repo/ocde/ford#2.11.04 |
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dc.title.en_EN.fl_str_mv |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
title |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
spellingShingle |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector Jenss Senador, David Kevin Medicamentos Reparto de mercancías Drones Centros de salud https://purl.org/pe-repo/ocde/ford#2.11.04 |
title_short |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
title_full |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
title_fullStr |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
title_full_unstemmed |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
title_sort |
Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector |
author |
Jenss Senador, David Kevin |
author_facet |
Jenss Senador, David Kevin Flores Caycho, Pavel Alexander |
author_role |
author |
author2 |
Flores Caycho, Pavel Alexander |
author2_role |
author |
dc.contributor.advisor.fl_str_mv |
Lizárraga Portugal, Carlos Augusto |
dc.contributor.author.fl_str_mv |
Jenss Senador, David Kevin Flores Caycho, Pavel Alexander |
dc.subject.es_PE.fl_str_mv |
Medicamentos Reparto de mercancías Drones Centros de salud |
topic |
Medicamentos Reparto de mercancías Drones Centros de salud https://purl.org/pe-repo/ocde/ford#2.11.04 |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.11.04 |
description |
The lack of adequate infrastructure for most of the roads and routes in Peru, has generated a saturation of the roads and longer transport times, which affects the state health sector presenting frequent situations of shortages of medicines for urgent and emergency cases nationwide due to various factors such as the use of ambulances used for the delivery of medicines in a very congested road infrastructure. This research proposes an emergency medicine distribution model to reduce delivery time and costs using drones (remotely piloted unmanned aerial vehicles). The distribution of medicines to thirteen medical posts using 4 ambulances in the northern area of Lima was analyzed and the results were compared with the distribution of medicines using 21 drones, providing care to 313,248 emergency cases, demonstrating the reduction of delivery times and costs. It can be concluded that the use of drones as a substitute in the distribution of emergency medications and medical items is a faster and 22 times less expensive means than traditional distribution using ambulances or distribution trucks, demonstrating that the model is viable to be implemented in the northern area of Lima. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-08-26T12:42:36Z |
dc.date.available.none.fl_str_mv |
2024-08-26T12:42:36Z |
dc.date.issued.fl_str_mv |
2024 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
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Tesis |
format |
bachelorThesis |
dc.identifier.citation.es_PE.fl_str_mv |
Jenss Senador, D. K. & Flores Caycho, P. A. (2024). Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/21099 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12724/21099 |
dc.identifier.isni.none.fl_str_mv |
121541816 |
identifier_str_mv |
Jenss Senador, D. K. & Flores Caycho, P. A. (2024). Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/21099 121541816 |
url |
https://hdl.handle.net/20.500.12724/21099 |
dc.language.iso.none.fl_str_mv |
eng |
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eng |
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SUNEDU |
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info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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Universidad de Lima |
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PE |
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Universidad de Lima |
dc.source.none.fl_str_mv |
Repositorio Institucional - Ulima Universidad de Lima reponame:ULIMA-Institucional instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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Lizárraga Portugal, Carlos AugustoJenss Senador, David KevinFlores Caycho, Pavel Alexander2024-08-26T12:42:36Z2024-08-26T12:42:36Z2024Jenss Senador, D. K. & Flores Caycho, P. A. (2024). Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sector [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/21099https://hdl.handle.net/20.500.12724/21099121541816The lack of adequate infrastructure for most of the roads and routes in Peru, has generated a saturation of the roads and longer transport times, which affects the state health sector presenting frequent situations of shortages of medicines for urgent and emergency cases nationwide due to various factors such as the use of ambulances used for the delivery of medicines in a very congested road infrastructure. This research proposes an emergency medicine distribution model to reduce delivery time and costs using drones (remotely piloted unmanned aerial vehicles). The distribution of medicines to thirteen medical posts using 4 ambulances in the northern area of Lima was analyzed and the results were compared with the distribution of medicines using 21 drones, providing care to 313,248 emergency cases, demonstrating the reduction of delivery times and costs. It can be concluded that the use of drones as a substitute in the distribution of emergency medications and medical items is a faster and 22 times less expensive means than traditional distribution using ambulances or distribution trucks, demonstrating that the model is viable to be implemented in the northern area of Lima.La falta de infraestructura adecuada en la mayoría de las carreteras y rutas del Perú ha generado una saturación de las vías y ha hecho que los tiempos de transporte sean más largos, lo que afecta al sector salud estatal al presentarse situaciones frecuentes de escasez de medicamentos para casos urgentes y de emergencia a nivel nacional, debido a diversos factores, como el uso de ambulancias destinadas a la entrega de medicamentos en una infraestructura vial congestionada. Esta investigación propone un modelo de distribución de medicamentos de emergencia para reducir los tiempos y costos de entrega mediante el uso de drones (vehículos aéreos no tripulados controlados de forma remota). Se analizó la distribución de medicamentos en 13 puestos médicos con cuatro ambulancias en la zona norte de Lima y los resultados se compararon con la distribución de medicamentos mediante 21 drones, atendiendo a 313 248 casos de emergencia, de tal forma que se redujeron los tiempos y costos de entrega. Se puede concluir que el uso de drones como sustituto en la distribución de medicamentos y artículos médicos de emergencia es un medio más rápido y 22 veces menos costoso que la distribución tradicional mediante ambulancias o camiones de distribución, lo que evidencia que el modelo es viable para implementarse en la zona norte de Lima.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:ULIMAMedicamentosReparto de mercancíasDronesCentros de saludhttps://purl.org/pe-repo/ocde/ford#2.11.04Drone distribution model for emergency medicine distribution to reduce delivery time and costs: case of the Peruvian health sectorinfo:eu-repo/semantics/bachelorThesisTesisSUNEDUTítulo ProfesionalIngeniería IndustrialUniversidad de Lima. Facultad de IngenieríaIngeniero Industrialhttps://orcid.org/0000-0002-7057-4099084304927220604746054774935389https://purl.org/pe-repo/renati/level#tituloProfesionalLeon Chavarri, Claudia CarolinaLizárraga Portugal, Carlos AugustoSantos Figueroa, Luis Enriquehttps://purl.org/pe-repo/renati/type#tesisOITEXTT018_74935389_T.pdf.txtT018_74935389_T.pdf.txtExtracted texttext/plain31848https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/4/T018_74935389_T.pdf.txtd0622669c6990844323f5d2fe1a0aee6MD54FA_74935389_SR.pdf.txtFA_74935389_SR.pdf.txtExtracted texttext/plain2674https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/6/FA_74935389_SR.pdf.txt559b3108c5b780f8b0d251e0fb877584MD56TURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdf.txtTURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdf.txtExtracted texttext/plain1562https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/8/TURNITIN_FLORES%20CAYCHO%20PAVEL%20ALEXANDER_20170573%20.pdf.txt7c09f99f23e94e3acbef275c79de414cMD58THUMBNAILT018_74935389_T.pdf.jpgT018_74935389_T.pdf.jpgGenerated Thumbnailimage/jpeg11548https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/5/T018_74935389_T.pdf.jpg518e9ce8b8abc428a9c28db05dca2b9cMD55FA_74935389_SR.pdf.jpgFA_74935389_SR.pdf.jpgGenerated Thumbnailimage/jpeg16494https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/7/FA_74935389_SR.pdf.jpg86f3d256c99c9adecc7e15040c709834MD57TURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdf.jpgTURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdf.jpgGenerated Thumbnailimage/jpeg15201https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/9/TURNITIN_FLORES%20CAYCHO%20PAVEL%20ALEXANDER_20170573%20.pdf.jpge8c61af45cda055c20d95cc543e5b5b0MD59ORIGINALT018_74935389_T.pdfT018_74935389_T.pdfTesisapplication/pdf556216https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/1/T018_74935389_T.pdf7fc9605f39ae67b3d23314b43f143f64MD51FA_74935389_SR.pdfFA_74935389_SR.pdfAutorizaciónapplication/pdf229144https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/2/FA_74935389_SR.pdfc59fa929fd0c23d779e9b0a05b968b8aMD52TURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdfTURNITIN_FLORES CAYCHO PAVEL ALEXANDER_20170573 .pdfReporte de similitudapplication/pdf3882618https://repositorio.ulima.edu.pe/bitstream/20.500.12724/21099/3/TURNITIN_FLORES%20CAYCHO%20PAVEL%20ALEXANDER_20170573%20.pdf17706b23d376fad961d3720056e6f621MD5320.500.12724/21099oai:repositorio.ulima.edu.pe:20.500.12724/210992025-09-18 12:39:03.322Repositorio Universidad de Limarepositorio@ulima.edu.pe |
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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).