Inventory Mangement in a Two Echelon Supply Chain - Uzunoglu Kocer, Umay
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The base stock policy for a serial two echelon supply chain with independent but non-stationary (time dependent) demand is discussed. Each stage incurs certain holding cost and shortage cost at the end of each period. The system is examined under both centralized and decentralized control scheme. In decentralized frame, two different game formulations are considered. The first one is the repeated game. In each period a one-period game is played and for T- period finite horizon, these one-period games are played T times. Each one-period game has a unique Nash equilibrium, however when the…mehr

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Produktbeschreibung
The base stock policy for a serial two echelon supply chain with independent but non-stationary (time dependent) demand is discussed. Each stage incurs certain holding cost and shortage cost at the end of each period. The system is examined under both centralized and decentralized control scheme. In decentralized frame, two different game formulations are considered. The first one is the repeated game. In each period a one-period game is played and for T- period finite horizon, these one-period games are played T times. Each one-period game has a unique Nash equilibrium, however when the one-period game is repeated, different equilibrium points may be obtained in each period. This fact derives the need for defining subgames. By working backward, subgame perfect equilibrium for the repeated game can be obtained. Having studied the case in which the decisions made independently in each period, the case in which the decisions made in the past has influence on current decisions is considered. This requires a stochastic game (Markovian game) formulation. The solution is found by Markov perfect equilibrium.
Autorenporträt
Umay Uzuno lu Koçer obtained her PhD in Statistics at Dokuz Eylul University. She is currently a working as a lecturer in the Department of Statistics at the same place. Research interests are primarily in the areas of inventory management, queuing theory and Markov process in the application of inventory theory.