{"id":356242,"date":"2026-07-27T18:42:43","date_gmt":"2026-07-27T21:42:43","guid":{"rendered":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/?p=356242"},"modified":"2026-08-04T19:05:16","modified_gmt":"2026-08-04T22:05:16","slug":"academicos-presentaron-investigaciones-sobre-salud-energia-y-optimizacion-en-ifors-vienna-2026","status":"publish","type":"post","link":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/07\/27\/academicos-presentaron-investigaciones-sobre-salud-energia-y-optimizacion-en-ifors-vienna-2026\/","title":{"rendered":"Acad\u00e9micos del DIIS participaron en IFORS Vienna 2026"},"content":{"rendered":"

Los profesores Jorge Vera, Alejandro Mac Cawley, Enzo Sauma y Sergio Maturana presentaron investigaciones en la 24\u00aa Conferencia de la International Federation of Operational Research Societies (IFORS) realizada en Viena, Austria<\/h4>\n

\"\"<\/p>\n

La investigaci\u00f3n desarrollada por acad\u00e9micos del DIIS tuvo una destacada presencia en IFORS 2026, la 24\u00aa Conferencia de la International Federation of Operational Research Societies<\/a>, realizada entre el 12 y el 17 de julio en Viena, Austria. El encuentro reuni\u00f3 a investigadores y especialistas de todo el mundo para compartir avances en el uso de m\u00e9todos anal\u00edticos y de optimizaci\u00f3n orientados a la toma de decisiones y al desarrollo sostenible.<\/p>\n

Durante la conferencia participaron los profesores del DIIS: Jorge Vera<\/a>, Alejandro Mac Cawley<\/a>, Enzo Sauma<\/a> y Sergio Maturana<\/a>, quienes presentaron investigaciones aplicadas a distintas \u00e1reas, entre ellas sobre salud, energ\u00eda, agricultura e industria vitivin\u00edcola.<\/p>\n

Uno de los trabajos presentados fue \u201cOptimal Scheduling Problems with Non-time Indexed Formulation using Conflict Constraints: The Wine Fermentation Tank Assignment Case\u201d<\/strong>, desarrollado por Sergio Maturana, Alejandro Mac Cawley, Jorge Vera y colaboradores. La investigaci\u00f3n propone un nuevo modelo de programaci\u00f3n matem\u00e1tica para optimizar la asignaci\u00f3n de estanques de fermentaci\u00f3n en la industria del vino, permitiendo obtener soluciones \u00f3ptimas en menor tiempo computacional que los enfoques tradicionales.<\/p>\n

En la misma l\u00ednea, Alejandro Mac Cawley, Sergio Maturana y Jorge Vera presentaron el estudio \u201cRobust Scheduling Algorithm using Conflict Constraints: The Grape Harvest to Wine Fermentation Tank Assignment Problem\u201d<\/strong>, que incorpora incertidumbre en la planificaci\u00f3n de la cosecha y fermentaci\u00f3n de uvas mediante algoritmos robustos capaces de generar soluciones m\u00e1s resilientes frente a variaciones operacionales.<\/p>\n

La aplicaci\u00f3n de t\u00e9cnicas de optimizaci\u00f3n e inteligencia artificial en salud tambi\u00e9n estuvo presente con el trabajo \u201cSurgery Scheduling Using Optimization, AI and Machine Learning in a Public Hospital in Chile\u201d<\/strong>, presentado por Jorge Vera junto a Alexander B\u00f6hm y Jorge Jacque. La investigaci\u00f3n aborda uno de los desaf\u00edos m\u00e1s relevantes del sistema de salud chileno: la gesti\u00f3n de listas de espera quir\u00fargicas. El estudio propone una metodolog\u00eda que combina optimizaci\u00f3n, inteligencia artificial y aprendizaje autom\u00e1tico para priorizar pacientes y mejorar la programaci\u00f3n de cirug\u00edas en hospitales p\u00fablicos.<\/p>\n

\"\"<\/p>\n

Por su parte, Alejandro Mac Cawley particip\u00f3 en la presentaci\u00f3n de \u201cPrognostic-Prescriptive Framework Based on Two-Phase Wiener Processes and Dynamic Programming for Maintenance Optimization\u201d<\/strong>, investigaci\u00f3n que desarrolla un marco de mantenimiento predictivo para l\u00edneas de embotellado de vino. El trabajo integra modelos de degradaci\u00f3n, an\u00e1lisis de datos provenientes de sensores y programaci\u00f3n din\u00e1mica para recomendar acciones de mantenimiento que reduzcan riesgos y mejoren la continuidad operacional.<\/p>\n

Adem\u00e1s de sus contribuciones cient\u00edficas, Alejandro Mac Cawley lider\u00f3 la sesi\u00f3n invitada \u201cOR in Agriculture I\u201d<\/strong>, dedicada a aplicaciones de Investigaci\u00f3n de Operaciones en agricultura, reuniendo investigaciones enfocadas en sostenibilidad, eficiencia productiva y gesti\u00f3n de recursos en sistemas agr\u00edcolas.<\/p>\n

En el \u00e1mbito energ\u00e9tico, el profesor Enzo Sauma tuvo un rol destacado como chair de la sesi\u00f3n invitada \u201cEnergy Markets & Systems\u201d<\/strong>, espacio que reuni\u00f3 investigaciones sobre dise\u00f1o de mercados el\u00e9ctricos y planificaci\u00f3n energ\u00e9tica. En esta instancia present\u00f3 el trabajo \u201cImpact of Hydrogen Production Flexibility on Power System Operation and Expansion Planning\u201d<\/strong>, desarrollado junto a Andr\u00e9s Pereira.<\/p>\n

La investigaci\u00f3n analiza c\u00f3mo la flexibilidad en la producci\u00f3n de hidr\u00f3geno puede contribuir a una operaci\u00f3n m\u00e1s eficiente de los sistemas el\u00e9ctricos. A trav\u00e9s de un caso de estudio basado en el sistema el\u00e9ctrico chileno, los resultados muestran que una mayor flexibilidad en la demanda de hidr\u00f3geno puede reducir costos totales del sistema y disminuir las inversiones necesarias en generaci\u00f3n y transmisi\u00f3n el\u00e9ctrica.<\/p>\n","protected":false},"excerpt":{"rendered":"

Los profesores Jorge Vera, Alejandro Mac Cawley, Enzo Sauma y Sergio Maturana presentaron investigaciones en la 24\u00aa Conferencia de la International Federation of Operational Research Societies (IFORS) realizada en Viena, Austria La investigaci\u00f3n desarrollada por acad\u00e9micos del DIIS tuvo una destacada presencia en IFORS 2026, la 24\u00aa Conferencia de la International Federation of Operational Research Societies, realizada entre el 12 y el 17 de julio en Viena, Austria. El encuentro reuni\u00f3 a investigadores y especialistas de todo el mundo para compartir avances en el uso de m\u00e9todos anal\u00edticos y de optimizaci\u00f3n orientados a la toma de decisiones y al desarrollo sostenible. Durante la conferencia participaron los profesores del DIIS: Jorge Vera, Alejandro Mac Cawley, Enzo Sauma y Sergio Maturana, quienes presentaron investigaciones aplicadas a distintas \u00e1reas, entre ellas sobre salud, energ\u00eda, agricultura e industria vitivin\u00edcola. Uno de los trabajos presentados fue \u201cOptimal Scheduling Problems with Non-time Indexed Formulation using Conflict Constraints: The Wine Fermentation Tank Assignment Case\u201d, desarrollado por Sergio Maturana, Alejandro Mac Cawley, Jorge Vera y colaboradores. La investigaci\u00f3n propone un nuevo modelo de programaci\u00f3n matem\u00e1tica para optimizar la asignaci\u00f3n de estanques de fermentaci\u00f3n en la industria del vino, permitiendo obtener soluciones \u00f3ptimas en menor tiempo computacional que los enfoques tradicionales. En la misma l\u00ednea, Alejandro Mac Cawley, Sergio Maturana y Jorge Vera presentaron el estudio \u201cRobust Scheduling Algorithm using Conflict Constraints: The Grape Harvest to Wine Fermentation Tank Assignment Problem\u201d, que incorpora incertidumbre en la planificaci\u00f3n de la cosecha y fermentaci\u00f3n de uvas mediante algoritmos robustos capaces de generar soluciones m\u00e1s resilientes frente a variaciones operacionales. La aplicaci\u00f3n de t\u00e9cnicas de optimizaci\u00f3n e inteligencia artificial en salud tambi\u00e9n estuvo presente con el trabajo \u201cSurgery Scheduling Using Optimization, AI and Machine Learning in a Public Hospital in Chile\u201d, presentado por Jorge Vera junto a Alexander B\u00f6hm y Jorge Jacque. La investigaci\u00f3n aborda uno de los desaf\u00edos m\u00e1s relevantes del sistema de salud chileno: la gesti\u00f3n de listas de espera quir\u00fargicas. El estudio propone una metodolog\u00eda que combina optimizaci\u00f3n, inteligencia artificial y aprendizaje autom\u00e1tico para priorizar pacientes y mejorar la programaci\u00f3n de cirug\u00edas en hospitales p\u00fablicos. Por su parte, Alejandro Mac Cawley particip\u00f3 en la presentaci\u00f3n de \u201cPrognostic-Prescriptive Framework Based on Two-Phase Wiener Processes and Dynamic Programming for Maintenance Optimization\u201d, investigaci\u00f3n que desarrolla un marco de mantenimiento predictivo para l\u00edneas de embotellado de vino. El trabajo integra modelos de degradaci\u00f3n, an\u00e1lisis de datos provenientes de sensores y programaci\u00f3n din\u00e1mica para recomendar acciones de mantenimiento que reduzcan riesgos y mejoren la continuidad operacional. Adem\u00e1s de sus contribuciones cient\u00edficas, Alejandro Mac Cawley lider\u00f3 la sesi\u00f3n invitada \u201cOR in Agriculture I\u201d, dedicada a aplicaciones de Investigaci\u00f3n de Operaciones en agricultura, reuniendo investigaciones enfocadas en sostenibilidad, eficiencia productiva y gesti\u00f3n de recursos en sistemas agr\u00edcolas. En el \u00e1mbito energ\u00e9tico, el profesor Enzo Sauma tuvo un rol destacado como chair de la sesi\u00f3n invitada \u201cEnergy Markets & Systems\u201d, espacio que reuni\u00f3 investigaciones sobre dise\u00f1o de mercados el\u00e9ctricos y planificaci\u00f3n energ\u00e9tica. En esta instancia present\u00f3 el trabajo \u201cImpact of Hydrogen Production Flexibility on Power System Operation and Expansion Planning\u201d, desarrollado junto a Andr\u00e9s Pereira. La investigaci\u00f3n analiza c\u00f3mo la flexibilidad en la producci\u00f3n de hidr\u00f3geno puede contribuir a una operaci\u00f3n m\u00e1s eficiente de los sistemas el\u00e9ctricos. A trav\u00e9s de un caso de estudio basado en el sistema el\u00e9ctrico chileno, los resultados muestran que una mayor flexibilidad en la demanda de hidr\u00f3geno puede reducir costos totales del sistema y disminuir las inversiones necesarias en generaci\u00f3n y transmisi\u00f3n el\u00e9ctrica.<\/p>\n","protected":false},"author":11,"featured_media":356272,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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