At the end of 2019, the SARS-CoV-2 virus caused an outbreak of COVID-19 disease. The
spread of this once-in-a-century pathogen increases demand for appropriate medical care …

This paper aims to optimise healthcare resource pre-positioning, patient scheduling, and
patient transferring under uncertain demands and stochastic resource consumption. We …

Outpatient clinics typically face a critical issue in patient adherence to their clinic
appointments and suffer a huge backlog of patients waiting to be seen. The goal of this study …

The joint optimization problem of multiresource capacity planning and multitype patient
scheduling under uncertain demands and random capacity consumption poses a significant …

This article studies an appointment scheduling problem where a service provider
dynamically receives appointment requests from a random number of customers. By …

This paper concerns the problem of inpatient bed allocation for two classes of patients
(scheduled and non-scheduled) when there is uncertainty about daily available capacity. In …

We investigate the scheduling practices of multistage outpatient health programs that offer
care plans customized to the needs of their patients. We formulate the scheduling problem …

Consider an M/G/1 queuing system that supports advance reservations. In this system,
strategic customers must decide whether to reserve a server in advance (thereby gaining …

Overbooking has been far and wide embraced to save any system from being idle. Rarely
does the literature focuses on the unique queue formation nomenclatures as secondary …

Background: To control and minimize the spread of COVID-19, vaccination among the
population to achieve herd immunity is important. However, optimizing the vaccination …