We provide the first approximation algorithm for dynamic newsvendor networks with stochastic demand and backlogging. Specifically, under a mild cost condition we prove the cost of a base-stock policy is less than 1.618 times the cost of an optimal policy. This answers an open question of Van...

Network design problems, such as flexibility design, are ubiquitous in modern marketplaces where firms constantly innovate new ways to match supply and demand. We develop a primal-dual based approach to analyze the flexibility design problem, i.e., allocating subsets of limited resources to each...

We consider ad-supported media platforms with incomplete information about the disutility consumers experience from exposure to advertising. We characterize the platform's optimal menu of subscription prices and advertising quantities in monopoly and competitive settings, revealing insights on...

We study newsvendor network (NN) models for managing inventory in multi-resource, multi-product systems that involve both common resource requirements and fulfillment flexibility. Such systems arise in a wide range of applications, including production and e-commerce, but optimizing their...