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Diseño de calendarios para transporte de componentes de automóviles. Soluciones heurísticas



    (Departamento de Economía Aplicada. Facultad C. Económicas y Empresariales. Universidad de Burgos.)


    (Departamento de Economía Aplicada. Facultad C. Económicas y Empresariales. Universidad de Burgos.)


    (Departamento de Economía Aplicada. Facultad C. Económicas y Empresariales. Universidad de Burgos.)

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    En este trabajo se analiza un caso particular del Periodic Vehicle Routing Problem, (PVRP), planteado recientemente a los autores de este trabajo por los directivos de una empresa logística. Una empresa fabricante de componentes de automóviles recoge diferentes piezas, que utiliza como materias primas, en diferentes factorías distribuidas geográficamente. Las recogidas de estas piezas deben seguir determinadas periodicidades. Se trata de establecer en que fechas se recogen las diferentes piezas y confeccionar las rutas diarias correspondientes, de forma que el coste total de transporte sea mínimo. Se consideran horizontes temporales de un mes o múltiplos, a diferencia de las instancias que aparecen habitualmente en la literatura para el PVRP, que consideran horizontes de tiempo mucho más cortos. En este trabajo se proponen dos metaheurísticos: uno basado en un sencillo procedimiento de Búsqueda Tabú, y un Algoritmo Memético. Se utilizan dichos metaheurísticos para resolver los problemas reales propuestos, comparándose los resultados con los propuestos por la empresa logística. This paper examines a particular case of Periodic Vehicle Routing Problem (PVRP). This problem was proposed by a local autopart enterprise. This enterprise must to collect different raw materials to build the autoparts, from different points geographically distributed. Each of these different raw materials has a specific frequency to be picked- up. Large planning horizons (one month, two months…) are considered. The problem then, consist on simultaneously selecting the pick-up days for each raw material and establishing vehicles routes for each day of the planning horizon. The total cost of transport must be minimized. In this work two metaheuristics are proposed: one is based on a simple procedure of tabu search, and the other is a memetic algorithm for these particular cases of PVRP with large planning horizons. These metaheuristics are used to solve the real problems that have been proposed and to compare the results with the results proposed by the logistic enterprise.

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

    Volume (Year): 20 (2002)
    Issue (Month): (Agosto)
    Pages: 301-316

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    Handle: RePEc:lrk:eeaart:20_2_4
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