{"id":4836,"date":"2026-05-26T21:36:33","date_gmt":"2026-05-26T21:36:33","guid":{"rendered":"https:\/\/catlec.cl\/?p=4836"},"modified":"2026-09-22T18:59:31","modified_gmt":"2026-09-22T18:59:31","slug":"air-freight-logistics-under-uncertainty-integrated-tail-assignment-flight-departure-time-adjustment-and-shipment-routing","status":"publish","type":"post","link":"https:\/\/catlec.cl\/en-us\/air-freight-logistics-under-uncertainty-integrated-tail-assignment-flight-departure-time-adjustment-and-shipment-routing\/","title":{"rendered":"Air freight logistics under uncertainty: Integrated tail assignment, flight departure time adjustment, and shipment routing"},"content":{"rendered":"\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Fecha:<\/strong> 17\/05\/2026<br><strong>Autores<\/strong>: Shurui&nbsp;Zhu&nbsp;<sup>a<\/sup>,&nbsp;Huijun&nbsp;Sun&nbsp;<sup>a<\/sup>,&nbsp;<strong>Felipe&nbsp;Delgado<\/strong>&nbsp;<sup>bc<\/sup>,&nbsp;Alessandro&nbsp;Bombelli&nbsp;<sup>d<\/sup>,&nbsp;L\u00f3r\u00e1nt&nbsp;Tavasszy&nbsp;<sup>e<\/sup>,&nbsp;Xin&nbsp;Guo&nbsp;<sup>a<\/sup>,&nbsp;Jianjun&nbsp;Wu&nbsp;<sup>f<\/sup><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>a<\/sup><strong>School of Systems Science, Beijing Jiaotong University<\/strong>, Beijing, 100044, China<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>b<\/sup><strong>Departamento de Ingenier\u00eda de Transporte y Log\u00edstica, Pontificia Universidad Cat\u00f3lica de Chile<\/strong>, Vicu\u00f1a Mackenna 4860, Macul, Casilla 306, Correo 22, Santiago, Chile<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>c<\/sup><strong>Center for Advanced Transportation, Logistics, and Economic Competitiveness (CATLEC)<\/strong>, Vicu\u00f1a Mackenna 4860, Macul, Casilla 306, Correo 22, Santiago, Chile<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>d<\/sup><strong>Operations &amp; Environment, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1<\/strong>, Delft, 2629 HS, the Netherlands<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>e<\/sup><strong>Transport &amp; Planning, Faculty of Civil Engineering &amp; Geosciences, Delft University of Technology<\/strong>, Stevinweg 1, Delft, 2628 CN, the Netherlands<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>f<\/sup><strong>School of Economics and Management, Dalian University of Technology<\/strong>, Dalian, 116024, China<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><br><strong>Revista cient\u00edfica \/ editorial:<\/strong> Transportation Research Part E: Logistics and Transportation Review<br><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Abstract o breve resumen:<\/strong> Las operaciones de carga a\u00e9rea se enfrentan a importantes retos debido a la variabilidad de los tiempos de vuelo, lo que puede alterar los horarios y retrasar los env\u00edos. Esto resulta especialmente cr\u00edtico en el caso de la carga urgente y en el contexto de la entrega expr\u00e9s. <\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">En este art\u00edculo, integramos la asignaci\u00f3n de colas de aeronaves, el ajuste de las horas de salida de los vuelos y las decisiones sobre las rutas de la carga en un contexto de incertidumbre sobre los tiempos de vuelo. Formulamos el problema como un modelo de programaci\u00f3n estoc\u00e1stica de dos etapas: la primera etapa determina la secuencia de tramos de vuelo asignados a cada aeronave, mientras que la segunda etapa, una vez que se conocen los tiempos de vuelo, determina la demanda a atender, su ruta y los tiempos de salida de los vuelos. <\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">Para mejorar el rendimiento computacional, desarrollamos algoritmos a medida para la generaci\u00f3n de itinerarios de demanda e implementamos un algoritmo de agregaci\u00f3n de escenarios hacia atr\u00e1s que conserva las caracter\u00edsticas de incertidumbre al tiempo que reduce la dimensionalidad del problema. Los escenarios se generan utilizando datos hist\u00f3ricos de tres a\u00f1os, lo que permite conservar dependencias temporales y espaciales realistas. Utilizando datos inspirados en la red nacional de una importante empresa china de transporte a\u00e9reo urgente de carga, llevamos a cabo experimentos a lo largo de m\u00faltiples temporadas.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">El enfoque propuesto supera sistem\u00e1ticamente a los puntos de referencia determin\u00edsticos basados en tiempos de vuelo promedio y m\u00ednimos, con mejoras en las ganancias de hasta un 4,3 % y un 3,8 %, respectivamente, durante la temporada del monz\u00f3n de invierno, cuando la variabilidad es mayor. Adem\u00e1s, demostramos que el valor de la planificaci\u00f3n estoc\u00e1stica aumenta significativamente cuando la red opera en condiciones de conectividad m\u00e1s limitadas. Con una disponibilidad reducida de la flota, las mejoras en las ganancias ascienden al 7,0 % y al 9,7 % en relaci\u00f3n con los puntos de referencia basados en los tiempos de vuelo promedio y m\u00ednimo, respectivamente, lo que destaca c\u00f3mo la propagaci\u00f3n de los retrasos en rotaciones de aeronaves estrechamente acopladas hace que los planes determin\u00edsticos sean particularmente fr\u00e1giles. <\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">En general, los resultados demuestran que anticipar la incertidumbre en la etapa de planificaci\u00f3n t\u00e1ctica mejora tanto la solidez operativa como el rendimiento de los ingresos en redes de carga a\u00e9rea a gran escala.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Enlace al documento o DOI:<\/strong> <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1366554526002322?ref=pdf_download&amp;fr=RR-2&amp;rr=9fec228aa8c7481f\" target=\"_blank\" rel=\"noreferrer noopener\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1366554526002322?ref=pdf_download&amp;fr=RR-2&amp;rr=9fec228aa8c7481f<\/mark><\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fecha: 17\/05\/2026Autores: Shurui&nbsp;Zhu&nbsp;a,&nbsp;Huijun&nbsp;Sun&nbsp;a,&nbsp;Felipe&nbsp;Delgado&nbsp;bc,&nbsp;Alessandro&nbsp;Bombelli&nbsp;d,&nbsp;L\u00f3r\u00e1nt&nbsp;Tavasszy&nbsp;e,&nbsp;Xin&nbsp;Guo&nbsp;a,&nbsp;Jianjun&nbsp;Wu&nbsp;f aSchool of Systems Science, Beijing Jiaotong University, Beijing, 100044, China bDepartamento de Ingenier\u00eda de Transporte y Log\u00edstica,<\/p>\n","protected":false},"author":4,"featured_media":4837,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[87,50],"tags":[151,150],"class_list":["post-4836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articulos-cientificos","category-publicaciones","tag-competitividad-logistica-nacional","tag-felipe-delgado"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Air freight logistics under uncertainty: Integrated tail assignment, flight departure time adjustment, and shipment routing - CATLEC<\/title>\n<meta name=\"description\" content=\"Las operaciones de carga a\u00e9rea enfrentan importantes retos por la variabilidad de los tiempos de vuelo, lo que puede afectar los env\u00edos.\" \/>\n<meta name=\"robots\" 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