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.