{"id":16928,"date":"2018-03-09T09:04:46","date_gmt":"2018-03-09T09:04:46","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/consumer-choice-in-competitive-location-models\/"},"modified":"2018-03-09T09:04:46","modified_gmt":"2018-03-09T09:04:46","slug":"consumer-choice-in-competitive-location-models","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/economia-general\/consumer-choice-in-competitive-location-models\/","title":{"rendered":"Consumer choice in competitive location models"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mar\u00eda Rosa Colom\u00e9 Perales <\/strong><\/h2>\n<p>Los modelos de localizaci\u00f3n competitiva en entornos decretos tratan de localizar \u00f3ptimamente los puntos de venta de empresas que compiten por clientes en un espacio discreto, y para ello, asignan los clientes a esa localizaci\u00f3n en funci\u00f3n de un patr\u00f3n esperado de conducta de los consumidores. Hasta la fecha, los modelos de localizaci\u00f3n competitiva discreta que tienen como objetivo maximizar la captura han asumido que los consumidores eligen el punto de venta m\u00e1s cercano para realizar sus compras. la literatura que analiza el proceso de elecci\u00f3n de la tienda por parte del consumidor (store -cholee literature) investiga cuales son las variables que determinan esta decisi\u00f3n y c\u00f3mo estas variables interact\u00faan entre s\u00ed. Los resultados de esta literatura muestran que los consumidores no s\u00f3lo se preocupan de cual es el punto de venta que se encuentra m\u00e1s cercano; sino que tienen en cuenta otras variables o caracter\u00edsticas del mismo para tomar la decisi\u00f3n. la presente tesis doctoral tiene como objetivo b\u00e1sico la incorporaci\u00f3n de los modelos de preferencia revelada de elecci\u00f3n del consumidor en los modelos de localizaci\u00f3n competitiva en entorno discreto que tienen como objetivo maximizar la captura. para ello, despu\u00e9s de la introducci\u00f3n (capitulo 1) y de la revisi\u00f3n de la literatura (cap\u00edtulo 2), el capitulo 3 analiza en primer lugar c\u00f3mo introducir el atributo tradicional de la distancia. En concreto, se analiza la importancia que tiene reflejar la conducta real del consumidor respecto a c\u00f3mo \u00e9ste considera la distancia, y c\u00f3mo esto afecta a la optimalidad de las localizaciones que se obtienen en estos modelos. una vez analizada la caracter\u00edstica distancia, el capitulo 4 presenta una nueva metodolog\u00eda para determinar que otras caracter\u00edsticas (adem\u00e1s de la distancia) se deben introducir en los modelos de m\u00e1xima captura (maxcap model) y c\u00f3mo se tienen que representar \u00e9stas utilizando como modelo b\u00e1sico de elecci\u00f3n del consumidor el modelo mci (multiplicative competit\u00edve interaction model). La metodolog\u00eda presentada se aplica a dos entornos reales distintos: uno en barcelona y el otro en milton keynes. despu\u00e9s de resolver el objetivo b\u00e1sico, el capitulo 5 presenta el \u00abnew chance &#8211; constrained m\u00e1ximum capture location problem\u00bb. Este modelo de m\u00e1xima captura, adem\u00e1s de introducir las teor\u00edas de elecci\u00f3n del consumidor, introduce una nueva restricci\u00f3n estoc\u00e1stica de umbral de rentabilidad. finalmente en el capitulo 6 se presentan los algoritmos desarrollados para resolver los modelos presentados en los cap\u00edtulos 3 y 5. Concretamente, se desarrollan y testean dos metaheur\u00edsticas basadas en las metaheur\u00edsticas grasp, ant system y tab\u00fa search.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Consumer choice in competitive location models<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Consumer choice in competitive location models <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mar\u00eda Rosa Colom\u00e9 Perales <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Pompeu fabra<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 17\/05\/2002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Daniel Serra De La Figuera<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: blas Pelegrin pelegrin <\/li>\n<li>dolores Santos pe\u00f1ate (vocal)<\/li>\n<li>michael Greenacre (vocal)<\/li>\n<li>justo Puerto albandoz (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mar\u00eda Rosa Colom\u00e9 Perales Los modelos de localizaci\u00f3n competitiva en entornos decretos tratan de localizar \u00f3ptimamente los [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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