IDEAS home Printed from
   My bibliography  Save this paper

Cooperation Support In A Dyadic Supply Chain


  • François Galasso

    () (LAAS-MOGISA - LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse] - INP - Institut National Polytechnique [Toulouse] - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UPS - Université Paul Sabatier - Toulouse 3 - CNRS - Centre National de la Recherche Scientifique)

  • Caroline Thierry

    (IRIT - Institut de recherche en informatique de Toulouse - INP - Institut National Polytechnique [Toulouse] - UT1 - Université Toulouse 1 Capitole - UT2 - Université Toulouse 2 - UPS - Université Paul Sabatier - Toulouse 3 - CNRS - Centre National de la Recherche Scientifique)


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.

Suggested Citation

  • François Galasso & Caroline Thierry, 2008. "Cooperation Support In A Dyadic Supply Chain," Working Papers hal-00235808, HAL.
  • Handle: RePEc:hal:wpaper:hal-00235808
    Note: View the original document on HAL open archive server:

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. 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.
    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.
    3. 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.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-00235808. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.