International Journal of Game Theory

, Volume 37, Issue 1, pp 139–153

Dynamic realization games in newsvendor inventory centralization

Original Paper

DOI: 10.1007/s00182-007-0102-5

Cite this article as:
Dror, M., Guardiola, L.A., Meca, A. et al. Int J Game Theory (2008) 37: 139. doi:10.1007/s00182-007-0102-5


Consider a set N of n (> 1) stores with single-item and single-period nondeterministic demands like in a classic newsvendor setting with holding and penalty costs only. Assume a risk-pooling single-warehouse centralized inventory ordering option. Allocation of costs in the centralized inventory ordering corresponds to modelling it as a cooperative cost game whose players are the stores. It has been shown that when holding and penalty costs are identical for all subsets of stores, the game based on optimal expected costs has a non empty core (Hartman et al. 2000, Games Econ Behav 31:26–49; Muller et al. 2002, Games Econ Behav 38:118–126). In this paper we examine a related inventory centralization game based on demand realizations that has, in general, an empty core even with identical penalty and holding costs (Hartman and Dror 2005, IIE Trans Scheduling Logistics 37:93–107). We propose a repeated cost allocation scheme for dynamic realization games based on allocation processes introduced by Lehrer (2002a, Int J Game Theor 31:341–351). We prove that the cost subsequences of the dynamic realization game process, based on Lehrer’s rules, converge almost surely to either a least square value or the core of the expected game. We extend the above results to more general dynamic cost games and relax the independence hypothesis of the sequence of players’ demands at different stages.


Dynamic realization games Newsvedor centralization game Cooperative game Allocation process Core Least square value 

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Management Information Systems, Eller College of ManagementUniversity of ArizonaTucsonUSA
  2. 2.Operations Research CenterUniversidad Miguel HernándezElcheSpain
  3. 3.Facultad de MatemáticasUniversidad de SevillaSevillaSpain