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Un problema de localización y rutas para incineradoras en Andalucía. Obtención de una solución dentro de una frontera eficiente/Solving a Location Routing problem in Andalucia to deliver animal residuals. How to obtain a final solution among a wide Pareto front

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  • CABALLERO FERNÁNDEZ, RAFAÉL

    ()
    (Departamento de Economía Aplicada (Matemáticas).UNIVERSIDAD DE MÁLAGA)

  • GONZÁLEZ LOZANO, MERCEDES

    (Departamento de Economía Aplicada (Matemáticas).UNIVERSIDAD DE MÁLAGA)

  • MOLINA DUQUE, JULIÁN

    (Departamento de Economía Aplicada (Matemáticas).UNIVERSIDAD DE MÁLAGA)

  • GUERRERO CASAS, FLOR Mª

    (Departamento de Economía. Métodos Cuantitativos e Historia Económica UNIVERSIDAD PABLO DE OLAVIDE. SEVILLA)

  • PARALERA MORALES, CONCEPCIÓN

    (Departamento de Economía. Métodos Cuantitativos e Historia Económica UNIVERSIDAD PABLO DE OLAVIDE. SEVILLA)

Abstract

En este trabajo diseñamos e implementamos un método interactivo para ayudar al decisor en su elección de una solución dentro de una frontera eficiente bastante extensa. Dicho método se presenta como una herramienta simple y eficaz basada en procesos de filtrado y cluster de las soluciones, útil para este tipo de problemática puesto que se basa en la comparación de un número pequeño de soluciones. Con él tratamos de resolver un problema real: la localización de incineradoras de residuos sólidos animales entre diversos lugares preestablecidos de Andalucía junto con la generación de las rutas más adecuadas para la recogida mediante vehículos de los deshechos de los mataderos. El modelo con el que nos enfrentamos es un problema de localización y rutas multiobjetivo de tales dimensiones que resulta difícil la elección del decisor de una solución dentro del conjunto de las eficientes. In this paper an interactive method is designed and implemented in order to facilitate the search into a wide set of efficient solutions. This method is based on filtering and clustering tools, and the comparison of a small number of solutions, in an intuitive and simple way for the decision maker. We use this method to solve a real problem: the location of incineration plants (for animal solid residuals) among some candidate locations in Andalucia, as well as the optimal route design to deliver the residuals from each slaughterhouse to the opened plants. The resulting model conforms a Multi-Objective Location Routing problem of such a dimension that the set of efficient solutions obtained can not be managed by the decision maker in order to find his most preferred solution.

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Bibliographic Info

Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

Volume (Year): 26 (2008)
Issue (Month): (Abril)
Pages: 323-340

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Handle: RePEc:lrk:eeaart:26_1_13

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Related research

Keywords: Metaheurísticos; Programación Multiobjetivo; Localización y Rutas/Metaheuristics; Multi-Objective Programming; Location Routing problems.;

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