This paper presents a review of the literature on multi-appointment scheduling problems in
hospitals. In these problems, patients need to sequentially visit multiple resource types in a …

Over the past few years, artificial intelligence (AI) has made a significant advance in the
medical world, particularly due to developments in the field of machine learning (ML) and …

One of the basic scheduling problems, the open-shop scheduling problem has a broad
range of applications across different sectors. The problem concerns scheduling a set of …

The most commonly used techniques for addressing each Emergency Department (ED)
problem (overcrowding, prolonged waiting time, extended length of stay, excessive patient …

This research gave an overview of coordinated hospital planning issues. In these issues,
patients desire an arrangement for different source types, ideally as quickly as time permits …

Multi-disciplinary planning in health care is an emerging research field that applies to many
health care areas with similar underlying planning characteristics. We provide a review of …

Emergency departments (ED) in hospitals usually suffer from crowdedness and long waiting
times for treatment. The complexity of the patient's path flows and their controls come from …

The flow-shop scheduling problem with exact delays is generalization of no-wait flow-shop
scheduling in which an exact delay exists between the consecutive tasks of each job. The …

Background/Objectives: Emergency Medical Response Systems (EMRSs) play a vital role in
delivering medical aid during natural and man-made disasters. This quantitative research …

In this paper, we develop and apply a genetic algorithm to solve surgery scheduling cases in
a Mexican Public Hospital. Here, one of the most challenging issues is to process containers …