Newsvendor models with dependent random supply and demand

TLDR: This work considers an extention where supply is also random so that the quantity ordered is not necessarily received in full at the beginning of the period and focuses on the resulting optimization problem and provides interesting characterizations on the optimal order quantity.

Abstract: The newsvendor model is perhaps the most widely analyzed model in inventory management. In this single-period model, the only source of randomness is the demand during the period and one tries to determine the optimal order quantity in view of various cost factors. We consider an extention where supply is also random so that the quantity ordered is not necessarily received in full at the beginning of the period. Such models have been well-received in the literature with the assumption of independence between demand and supply. In this setting, we suppose that the random demand and supply are not necessarily independent. We focus on the resulting optimization problem and provide interesting characterizations on the optimal order quantity.