We consider a multi-period Newsvendor problem where the seller decides the initial inventory level and dynamically sets the prices in every periods. A purchase made in a period can be returned at a (random) future period following a return time distribution. Unlike existing works in the...

We consider the problem of joint inventory and pricing control in a finite-horizon setting with Poisson demand, positive lead time, and lost sales. We study the performance of a lead time independent heuristic control, which we call Dynamic Batch Pricing (DBP), and show that it is asymptotically...

We propose an asymptotically optimal heuristic, which we termed the Randomized Assignment Control (RAC) for restless multi-armed bandit problems with discrete-time and fi nite states. It is based on a linear programming relaxation to the original stochastic control formulation. In contrast to...

We propose the first learning algorithm for single-product, periodic-review, backlogging inventory systems with random production capacity. Different than the existing literature on this class of problems, we assume that the firm has neither prior information about the demand distribution nor...