Seeking to reduce the potential impact of delays on radiation therapy cancer patients such
as psychological distress, deterioration in quality of life and decreased cancer control and …

We study a scheduling problem in which arriving patients require appointments at specific
future days within a treatment specific time window. This research is motivated by a study of …

The combination of inventory management and vehicle routing decisions yields a difficult
combinatorial optimization problem called the Inventory-Routing Problem (IRP). This …

We introduce the pathwise optimization (PO) method, a new convex optimization procedure
to produce upper and lower bounds on the optimal value (the “price”) of a high-dimensional …

We present a novel linear program for the approximation of the dynamic programming cost-
to-go function in high-dimensional stochastic control problems. LP approaches to …

We propose a dynamic traveling salesman problem (TSP) with stochastic arc costs
motivated by applications, such as dynamic vehicle routing, in which the cost of a decision is …

The real option management of commodity conversion assets gives rise to intractable
Markov decision processes (MDPs), in part because of the use of high-dimensional models …

Management of hospital beds is a high-impact issue for two-tier healthcare systems, due
principally to their critical importance and high costs. Bed capacity in the public sector is …

Control and optimization of dynamical systems in the presence of stochastic uncertainty is a
mature field with a large range of applications. A comprehensive treatment of such problems …

We consider the vehicle routing problem (VRP) with real-time traffic information, where
stochastic intermediate times (travel times and service times) are assumed to be realized …