The restless multi-armed bandit problem is a paradigmatic modeling framework for optimal
dynamic priority allocation in stochastic models of wide-ranging applications that has been …

Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Efficient delivery of multiple resources for emergency recovery during disasters is a matter of
life and death. Nevertheless, most studies in this field only handle situations involving single …

This research models a medical resource-sharing problem with three powerful techniques in
analytics: mixed-integer linear programming (MILP), deep q-learning (DQL), and double …

The intensive care unit (ICU) is one of the most crucial and expensive resources in a health
care system. While high fixed costs usually lead to tight capacities, shortages have severe …

This research focuses on the development of an artificial multiple intelligence system (AMIS)
for solving multi-visit scheduling and routing of multi-heterogeneous resources. The …

The Whittle index for restless bandits (two-action semi-Markov decision processes) provides
an intuitively appealing optimal policy for controlling a single generic project that can be …

In this paper, we study a parking management problem where an operator manages a
publicly owned parking service system with unknown parking demand. Assuming that the …

Many service systems, such as emergency departments (EDs), differentiate among
customer's types to meet specific service level (SL) targets. To meet these targets, some EDs …

In this digital era, cyberfraud remains one of the major challenges faced by individuals and
financial institutions. Lack of suitable decision support systems for effective allocation of …