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Aide À La Planification Avec Incertitude, Imprécision Et Incomplétude Sur La Demande

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  • François Galasso

    (LAAS-MOGISA - LAAS - Laboratoire d'analyse et d'architecture des systèmes - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Caroline Thierry

    (IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage - IRIT - Institut de recherche en informatique de Toulouse - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse - TMBI - Toulouse Mind & Brain Institut - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse, UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse)

Abstract

La prise en compte de la demande client pour la planification tactique dans les chaînes logistiques est un enjeu crucial pour leur bon fonctionnement. L'environnement concurrentiel actuel rend difficile l'engagement des clients sur le moyen terme. Dès lors, il est nécessaire de développer des méthodes et outils pour s'adapter au mieux à une demande fluctuante. Dans ce contexte, cet article s'attache à appliquer à la gestion de la demande une terminologie issue de la théorie de la décision sous incertitude. Les liens entre cette terminologie et une approche industrielle basée sur la notion de risques sont présentés. Ensuite, un outil de simulation orienté sur la relation clientfournisseur est présenté. Cet outil a pour objectif d'évaluer, grâce à un ensemble de critères d'aide à la décision dont l'application est rendue possible par la démarche étymologique initiale, de guider un décideur sur ses choix en matière de planification. Cette orientation est basée à la fois sur une évaluation des gains possibles suite à l'application d'une stratégie de planification donnée mais aussi au degré d'optimisme associé au sens du critère d'Hurwicz.

Suggested Citation

  • François Galasso & Caroline Thierry, 2008. "Aide À La Planification Avec Incertitude, Imprécision Et Incomplétude Sur La Demande," Working Papers hal-00235717, HAL.
    • Handle: RePEc:hal:wpaper:hal-00235717
    Note: View the original document on HAL open archive server: https://hal.science/hal-00235717v1
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    References listed on IDEAS

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    1. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    2. Bartezzaghi, Emilio & Verganti, Roberto, 1995. "Managing demand uncertainty through order overplanning," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 107-120, August.
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