Dual-sourcing inventory systems, in which one supplier is faster (ie, express) and more
costly, while the other is slower (ie, regular) and cheaper, arise naturally in many real-world …

The study of continuous-time Markov decision processes dates back at least to the 1950s,
shortly after that of its discrete-time analogue. Since then, the theory has rapidly developed …

This paper considers the finite-horizon risk-sensitive optimality for continuous-time Markov
decision processes, and focuses on the more general case that the transition rates are …

En esta investigación se revisa la evolución teórica y práctica de los procesos markovianos
y se resalta su rápido avance y notorio potencial en el modelado de los procesos de toma …

Volunteer convergence refers to the influx of volunteers to affected areas after large‐scale
disasters. There are not only many benefits to volunteer convergence, but it also creates …

In this paper we focus on the finite-horizon optimality for denumerable continuous-time
Markov decision processes, in which the transition and reward/cost rates are allowed to be …

In this paper our objective is to study continuous-time Markov decision processes on a
general Borel state space with both impulsive and continuous controls for the infinite time …

This paper deals with a continuous-time Markov decision process in Borel state and action
spaces and with unbounded transition rates. Under history-dependent policies, the …

This paper considers Markov decision processes (MDPs) with unbounded rates, as a
function of state. We are especially interested in studying structural properties of optimal …

In this paper, we investigate an optimization problem for continuous-time Markov decision
processes with both impulsive and continuous controls. We consider the so-called …