In this paper, we review the recent literature on assemble-to-order systems. Each assemble-
to-order system consists of multiple components and end-products. The components are …

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

We consider a discrete-time inventory system for a perishable product where demand exists
for product of different ages; an example of such a product is blood platelets. In addition to …

We consider an assembly system with a single end product and a general assembly
structure, where one or more of the component suppliers or (sub) assembly production …

A common technical challenge encountered in many operations management models is that
decision variables are truncated by some random variables and the decisions are made …

Optimizing multiproduct assemble-to-order (ATO) inventory systems is a long-standing
difficult problem. We consider ATO systems with identical component lead times and a …

We consider a single-product remanufacture-to-order system with multiple uncertain quality
levels for used items, random procurement lead times, and lost sales. The quality level of a …

Using a novel stochastic programming (SP) formulation, we develop an algorithm for
inventory control in industrial-size assemble-to-order (ATO) systems that has unparalleled …

Manufacturers experience random environmental fluctuations that influence their supply and
demand processes directly. To cope with these environmental fluctuations, they typically …

Queueing-inventory models have many practical applications and have been studied
extensively in the literature. Most of the studies focus on models in which the demands occur …