| Article ID: | iaor20052623 |
| Country: | Netherlands |
| Volume: | 135 |
| Issue: | 1 |
| Start Page Number: | 239 |
| End Page Number: | 259 |
| Publication Date: | Mar 2005 |
| Journal: | Annals of Operations Research |
| Authors: | Sethi Suresh P., Yan Houmin, Zhang Hanqin |
| Keywords: | game theory, programming: dynamic |
This paper studies a supply chain consisting of two suppliers and one retailer in a spot market, where the retailer uses the newsvendor solution as its purchase policy, and suppliers compete for the retailer's purchase. Since each supplier's bidding strategy affects the other's profit, a game theory approach is used to identify optimal bidding strategies. We prove the existence and uniqueness of a Nash solution. It is also shown that the competition between the supplier leads to a lower market clearing price, and as a result, the retailer benefits from it. Finally, we demonstrate the applicability of the obtained results by deriving optimal bidding strategies for power generator plants in the deregulated California energy market.