Skip to main content

Repeated Newsvendor Game with Transshipments

  • Chapter
  • First Online:
Handbook of Newsvendor Problems

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 176))

  • 3774 Accesses

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).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 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. 2.

    If D has a finite support with upper bound \(\bar{D}\) , then \(M =\bar{ D}\).

  3. 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. 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. 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.

    Article  Google Scholar 

  • Bagwell, K., & Staiger, R. W. (1997). Collusion over the business cycle. The RAND Journal of Economics, 28(1) 82–106.

    Article  Google Scholar 

  • Dong, L., & Rudi, N. (2004). Who benefits from transshipment? Exogenous vs. endogenous wholesale prices. Management Science, 50(5) 645–657.

    Google Scholar 

  • Granot, D., & Sošić, G. (2003). A three stage model for a decentralized distribution system of retailers. Operations Research, 51(5) 771–784.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Hu, X., Duenyas, I., & Kapuscinski, R. (2007). Existence of coordinating transshipment prices in a two-location inventory problem. Management Science, 53(8) 1289–1302.

    Article  Google Scholar 

  • Huang, X., & Sošić, G. (2010a). Transshipment of inventories: dual allocation vs. transshipment prices. M&SOM, 12(2) 299–312.

    Google Scholar 

  • Lippman, S. A., & McCardle, K. F. (1997). The competitive newsboy. Operations Research, 45(1) 54–65.

    Article  Google Scholar 

  • Parlar, M. (1988). Game theoretic analysis of the substitutable product inventory problem with random demands. Naval Research Logistics, 35 397–409.

    Article  Google Scholar 

  • Rotemberg, J. J., & Saloner, G. (1986). A supergame-theoretic model of price wars during booms. The American Economic Review, 76(3) 390–407.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Shao, J., Krishnan, H., & McCormick, S. T. (2011). Incentives for transshipment in a supply chain with decentralized retailers. MSOM, 13(3):361–372.

    Article  Google Scholar 

  • Sošić, G. (2004). Transshipment of inventories among retailers: myopic vs. farsighted stability. Management Science, 52(10) 1493–1508.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Wee, K. E., & Dada, M. (2005). Optimal policies for transshipping inventory in a retail network. Management Science, 51(10) 1519–1533.

    Article  Google Scholar 

  • Yang, H., & Schrage, L. (2009). Conditions that cause risk pooling to increase inventory. European Journal of Operational Research, 192(3) 837–851.

    Article  Google Scholar 

  • Zhang, J. (2005). Transshipment and its impact on supply chain members’ performance. Management Science, 51(10) 1534–1539.

    Article  Google Scholar 

  • Zhao, H., Deshpande, V., & Ryan, J. K. (2005). Inventory sharing and rationing in decentralized dealer networks. Management Science, 51(4) 531–547.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Greys Sošić .

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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

Publish with us

Policies and ethics