In classic inventory models it is common to assume that excess demand is backordered.
However, studies analyzing customer behavior in practice show that most unfulfilled …

It has long been recognized that many inventory models most relevant to practice are
inherently high‐dimensional, and hence generally believed to become computationally …

Supply chains often experience significant economic losses from disruptions such as facility
breakdowns, transportation mishaps, natural calamities, and intentional attacks. To help …

Inventories are prevalent everywhere in the commercial world, whether it be in retail stores,
manufacturing facilities, government stockpile material, Federal Reserve banks, or even …

We consider a periodic-review, single-product inventory system with lost sales and positive
lead times under censored demand. In contrast to the classical inventory literature, we …

We study a single-product single-location inventory system under periodic review, where
excess demand is lost and the replenishment lead time is positive. The performance …

Inventory models with lost sales and large lead times have traditionally been considered
intractable due to the curse of dimensionality. Recently, Goldberg and coauthors laid the …

Reinforcement Learning (RL) has achieved state-of-the-art results in domains such as
robotics and games. We build on this previous work by applying RL algorithms to a selection …

Competitive retail environments are characterized by service levels and lost sales in case of
excess demand. We contribute to research on lost-sales models with a service level criterion …

We consider the optimal control of a production inventory‐system with a single product and
two customer classes where items are produced one unit at a time. Upon arrival, customer …