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Chapter 10 : Coordination of Replenishment Policies: Game Theory and Uncertainty in Supply Chains

Author

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  • Daniel Llerena

    (GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Moyaux
  • Armand Baboli

Abstract

One of the contributions of this chapter is a method based on game theory to study when companies prefer a replenishment policy. Technically, it has several contributions, such as the method that depends on attitudes towards risk and client satisfaction, and the definition of a cost at risk (CaR) based on a performance indicator called value at risk (VaR). The chapter illustrates the methods with a case study comparing three different replenishment policies. Here, α is a representative of traditional replenishment policies based on optimization and using no information sharing (IS), β is a policy designed to reduce the bullwhip effect by exploiting slow IS, and γ is an improvement on β in which IS is instantaneous. The motivation for applying the method to compare α, β and γ is the comparison of two different paradigms: optimization and stream management. The chapter discusses the results obtained with these three policies.

Suggested Citation

  • Daniel Llerena & Thierry Moyaux & Armand Baboli, 2013. "Chapter 10 : Coordination of Replenishment Policies: Game Theory and Uncertainty in Supply Chains," Post-Print hal-01809231, HAL.
    • Handle: RePEc:hal:journl:hal-01809231
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