Abstract
We study a repeated newsvendor game with transshipments. In every period n, retailers face a stochastic demand for an identical product and independently place their inventory orders before demand realization. After observing the actual demand, each retailer decides how much of her leftover inventory or unsatisfied demand she wants to share with the other retailers. Residual inventories are then transshipped in order to meet residual demands, and dual allocations are used to distribute residual profit. Unsold inventories are salvaged at the end of the period. While in a single-shot game retailers in an equilibrium withhold their residuals, we show that it is a subgame-perfect Nash equilibrium for the retailers to share all of the residuals when the discount factor is large enough and the game is repeated infinitely many times. We also study asymptotic behavior of the retailers’ order quantities and discount factors when n is large. Finally, we provide conditions under which a system-optimal solution can be achieved in a game with n retailers, and develop a contract for achieving a system-optimal outcome when these conditions are not satisfied. This chapter is based on Huang and Sošić (European Journal of Operational Research 204(2):274–284, 2010).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
For some exceptions, see Yang and Schrage (2009), which show that the inventory levels can increase after centralization when demand follows right-skewed distributions, or when the newsvendor ratio is low.
- 2.
If D has a finite support with upper bound \(\bar{D}\) , then \(M =\bar{ D}\).
- 3.
Note that in our repeated-game setting we were able to achieve \(\vec{{X}}^{\mathrm{d}}\) as a SPNE, by utilizing the fact that J i d(X i D) ≥ J i 1(X i 1). Unfortunately, J i d(X i C) can be greater or smaller than J i 1(X i 1), hence a first-best ordering quantity cannot, in general, be obtained as a SPNE.
- 4.
The amount of transfer payments d i ≤ 0 (realized when a player benefits from a defection) removes from a retailer all possible gains from that defection. Δ it > 0 (which leads to d i > 0) implies that a retailer observes a loss as a result of someone’s defection (and is, therefore, compensated from payments of those who benefit); this retailer receives a fraction of total transfer payments proportional to her loss as compared to the total losses observed by the system.
- 5.
In the whole contract lifetime, the discretionary transfer payment happens at most n − 1 times, as the number of inventory-sharing retailers is reduced from n to 1.
References
Anupindi, R., Bassok, Y., & Zemel, E. (2001). A general framework for the study of decentralized distribution system. M&SOM, 3(4) 349–368.
Bagwell, K., & Staiger, R. W. (1997). Collusion over the business cycle. The RAND Journal of Economics, 28(1) 82–106.
Dong, L., & Rudi, N. (2004). Who benefits from transshipment? Exogenous vs. endogenous wholesale prices. Management Science, 50(5) 645–657.
Granot, D., & Sošić, G. (2003). A three stage model for a decentralized distribution system of retailers. Operations Research, 51(5) 771–784.
Haltiwanger, J., & Harrington, J. E., Jr (1991). The impact of cyclical demand movements on collusive behavior. The RAND Journal of Economics, 22(1) 89–106.
Hu, X., Duenyas, I., & Kapuscinski, R. (2007). Existence of coordinating transshipment prices in a two-location inventory problem. Management Science, 53(8) 1289–1302.
Huang, X., & Sošić, G. (2010a). Transshipment of inventories: dual allocation vs. transshipment prices. M&SOM, 12(2) 299–312.
Lippman, S. A., & McCardle, K. F. (1997). The competitive newsboy. Operations Research, 45(1) 54–65.
Parlar, M. (1988). Game theoretic analysis of the substitutable product inventory problem with random demands. Naval Research Logistics, 35 397–409.
Rotemberg, J. J., & Saloner, G. (1986). A supergame-theoretic model of price wars during booms. The American Economic Review, 76(3) 390–407.
Rudi, N., Kapur, S., & Pyke, D. F. (2001). A two-location inventory model with transshipment and local decision making. Management Science, 47(12) 1668–1680.
Shao, J., Krishnan, H., & McCormick, S. T. (2011). Incentives for transshipment in a supply chain with decentralized retailers. MSOM, 13(3):361–372.
Sošić, G. (2004). Transshipment of inventories among retailers: myopic vs. farsighted stability. Management Science, 52(10) 1493–1508.
Wang, Q., & Parlar, M. (1994). A three-person game theory model of the substitutable product inventory problem with random demands. European Journal of Operational Research, 76(1) 83–97.
Wee, K. E., & Dada, M. (2005). Optimal policies for transshipping inventory in a retail network. Management Science, 51(10) 1519–1533.
Yang, H., & Schrage, L. (2009). Conditions that cause risk pooling to increase inventory. European Journal of Operational Research, 192(3) 837–851.
Zhang, J. (2005). Transshipment and its impact on supply chain members’ performance. Management Science, 51(10) 1534–1539.
Zhao, H., Deshpande, V., & Ryan, J. K. (2005). Inventory sharing and rationing in decentralized dealer networks. Management Science, 51(4) 531–547.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media New York
About this chapter
Cite this chapter
Huang, X., Sošić, G. (2012). Repeated Newsvendor Game with Transshipments. In: Choi, TM. (eds) Handbook of Newsvendor Problems. International Series in Operations Research & Management Science, vol 176. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3600-3_4
Download citation
DOI: https://doi.org/10.1007/978-1-4614-3600-3_4
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-3599-0
Online ISBN: 978-1-4614-3600-3
eBook Packages: Business and EconomicsBusiness and Management (R0)