We consider a rental service with a fixed number of rental units distributed across multiple locations. The units are accessed by customers without prior reservation and on an on-demand basis. Customers can decide on how long to keep a unit and where to return it. Because of the randomness in...

In this paper, we study the feature-based newsvendor problem in the presence of historical demand and related demand covariates. We adopt general kernel methods to estimate the true demand distributions conditioned on the given demand features. To account for estimation errors, we propose a...

We consider an assembly system with multiple stages, multiple items, and multiple customer classes. The system consists of m production facilities, each producing a different item. Items are produced in variable batch sizes, one batch at a time, with exponentially distributed batch production...