Health care is uncertain, dynamic, and fast growing. With digital technologies set to
revolutionise the industry, hospital capacity optimisation and planning have never been …

In hospitals, surgeries are treated either on an outpatient or on an inpatient basis.
Outpatients are normally routine patients that enter and leave the hospital on the same day …

The aim of the Master Surgery Scheduling Problem (MSSP) is to schedule the medical
specialties to the different operating rooms available, such that surgeries may be performed …

This article introduces a bespoke risk averse stochastic programming approach for
performing a strategic level assessment of hospital capacity (QAHC). We include stochastic …

Hospitals are struggling to maintain a balance between demand and the capacity of
resources. It is difficult because demand is highly uncertain and resource capacity is limited …

Operating rooms are the most important assets of hospitals whose capacity allocation to
different specialties is critical and challenging. This paper proposes a hybrid simulation and …

Various medical and surgical units operate in a typical hospital and to treat their patients
these units compete for infrastructure like operating rooms (OR) and ward beds. How that …

A new approach to perform hospital case‐mix planning (CMP) is introduced in this article.
Our multicriteria approach utilizes utility functions (UF) to articulate the preferences and …

The composition and volume of patients treated in a hospital, ie, the patient case-mix,
directly impacts resource utilisation. Despite advances in technology, existing case-mix …

In this article, we present a framework for evaluating the impact of uncertainty and the use of
different aggregation levels in case mix planning on the quality of strategic decisions …