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...

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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
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