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Optimisation de livraisons hospitalières : une approche par les méthodes de la recherche opérationnelle

Author

Listed:
  • Virginie Andre

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Nathalie Grangeon

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes - UBP - Université Blaise Pascal - Clermont-Ferrand 2 - UdA - Université d'Auvergne - Clermont-Ferrand I - SIGMA Clermont - SIGMA Clermont - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique)

  • Sylvie Norre

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes - UBP - Université Blaise Pascal - Clermont-Ferrand 2 - UdA - Université d'Auvergne - Clermont-Ferrand I - SIGMA Clermont - SIGMA Clermont - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Cet article traite de l'organisation des flux logistiques dans un environnement hospitalier. Ce travail est basé sur une étude proposée par un hôpital qui souhaite réorganiser le transport de repas, de linge et de médicaments pour des hôpitaux. La réalisation de chaque activité demande l'utilisation de ressources disponibles en nombre limité et la réalisation d'étapes en amont et en aval. L'objectif est de déterminer le nombre de postes de travail nécessaires à la réalisation de toutes les activités dans une semaine, d'affecter ces activités entre les chauffeurs et de les ordonnancer de manière à respecter des contraintes de précédence, de dates de disponibilité au plus tôt et de dates de fin au plus tard. Notre problème est assimilé à un problème d'optimisation de tournées avec livraisons et enlèvements, fenêtres de temps et contraintes de ressources. Nous proposons une méthode de résolution, issue de la recherche opérationnelle, qui consiste en un couplage entre un modèle de simulation et une métaheuristique. Les résultats sont donnés pour des instances correspondant à l'étude proposée par l'hôpital.

Suggested Citation

  • Virginie Andre & Nathalie Grangeon & Sylvie Norre, 2015. "Optimisation de livraisons hospitalières : une approche par les méthodes de la recherche opérationnelle," Post-Print hal-03722241, HAL.
  • Handle: RePEc:hal:journl:hal-03722241
    DOI: 10.53102/2015.34.01.847
    Note: View the original document on HAL open archive server: https://hal.science/hal-03722241
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    References listed on IDEAS

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    1. R M Jorgensen & J Larsen & K B Bergvinsdottir, 2007. "Solving the Dial-a-Ride problem using genetic algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1321-1331, October.
    2. Cordeau, Jean-François & Laporte, Gilbert, 2003. "A tabu search heuristic for the static multi-vehicle dial-a-ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 579-594, July.
    3. Éric Taillard & Philippe Badeau & Michel Gendreau & François Guertin & Jean-Yves Potvin, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows," Transportation Science, INFORMS, vol. 31(2), pages 170-186, May.
    4. Nanry, William P. & Wesley Barnes, J., 2000. "Solving the pickup and delivery problem with time windows using reactive tabu search," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 107-121, February.
    5. Bredström, David & Rönnqvist, Mikael, 2008. "Combined vehicle routing and scheduling with temporal precedence and synchronization constraints," European Journal of Operational Research, Elsevier, vol. 191(1), pages 19-31, November.
    6. Christophe Duhamel & Jean-Yves Potvin & Jean-Marc Rousseau, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Backhauls and Time Windows," Transportation Science, INFORMS, vol. 31(1), pages 49-59, February.
    7. M. W. P. Savelsbergh & M. Sol, 1995. "The General Pickup and Delivery Problem," Transportation Science, INFORMS, vol. 29(1), pages 17-29, February.
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