A multiobjective stochastic program for hospital bed planning

In this paper, we study hospital bed capacity management for a set of existing hospitals when the demand for beds is random. We propose a multiobjective stochastic program model to assign beds to hospital departments. We consider three objective functions to be minimized, which are the cost of creat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of the Operational Research Society Jg. 63; H. 4; S. 530 - 538
Hauptverfasser: Ben Abdelaziz, F, Masmoudi, M
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 01.04.2012
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Schriftenreihe:Journal of the Operational Research Society
Schlagworte:
Applied sciences
Beds
Business and Management
chance constrained approach
Cost functions
Decision theory. Utility theory
Departments
Exact sciences and technology
General Paper
General Papers
Goal programming
hospital bed capacity management
Hospital beds
Hospital costs
Hospital planning
Hospitals
Linear programming
Management
Mathematical programming
multiobjective stochastic programming
Nurses
Objective functions
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Patients
Physicians
Planning
Queuing theory
Random variables
recourse approach
Scheduling
Simulation
Studies
Supply chain management
Supply chains
chance constrained approach
goal programming
hospital bed capacity management
recourse approach
multiobjective stochastic programming
Stochastic model
Costs
Hospital management
Empirical method
Multiobjective programming
Goal programming
Stochastic programming
Objective function
Hospital
Planning
Public health
Nurse
ISSN:0160-5682, 1476-9360
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, we study hospital bed capacity management for a set of existing hospitals when the demand for beds is random. We propose a multiobjective stochastic program model to assign beds to hospital departments. We consider three objective functions to be minimized, which are the cost of creation and management of new beds and the number of nurses and physicians working in these hospitals, subject to demand satisfaction of three kinds of health-care specialities. A certainty equivalent program was derived based on a mixture between the chance constrained approach, the recourse approach and the goal programming approach. Empirical results using real data from 157 Tunisian national hospitals are reported.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2011.39