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Cooperation Support In A Dyadic Supply Chain

  • François Galasso


    (LAAS - Laboratoire d'analyse et d'architecture des systèmes - CNRS : UPR8001 - Université Paul Sabatier [UPS] - Toulouse III - Institut National Polytechnique de Toulouse - INPT - Institut National des Sciences Appliquées (INSA) - Toulouse)

  • Caroline Thierry

    (IRIT - Institut de recherche en informatique de Toulouse - CNRS : UMR5505 - Institut National Polytechnique de Toulouse - INPT - Université des Sciences Sociales - Toulouse I - Université Toulouse I [UT1] Capitole - Université Toulouse le Mirail - Toulouse II - Université Paul Sabatier [UPS] - Toulouse III)

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    To improve the supply chains performance, taking into account the customer demand in the tactical planning process is essential. It is more and more difficult for the customers to insure a certain level of demand over a medium term period. Then it is necessary to develop methods and decision support systems to reconcile the order and book processes. In this context, this paper aims at introducing a collaboration support tool and methodology dedicated to a dyadic supply chain. This approach aims at evaluating in term of risks different demand management strategies within the supply chain using a simulation dedicated tool. The evaluation process is based on an exploitation of decision theory and game theory concepts and methods.

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    Paper provided by HAL in its series Working Papers with number hal-00235808.

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    Date of creation: 18 Jan 2008
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    Handle: RePEc:hal:wpaper:hal-00235808
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    1. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    2. Dudek, Gregor & Stadtler, Hartmut, 2005. "Negotiation-based collaborative planning between supply chains partners," European Journal of Operational Research, Elsevier, vol. 163(3), pages 668-687, June.
    3. 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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