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 |
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| 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 |
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| ISSN: | 0160-5682, 1476-9360 |
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| Abstract | 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. |
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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] |
| Author | Ben Abdelaziz, F Masmoudi, M |
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| Cites_doi | 10.1287/mnsc.6.1.73 10.1007/s10479-009-0647-8 10.1016/S0377-2217(01)00219-3 10.1007/978-0-387-33636-7_10 10.1177/003754978504500502 10.1007/s10729-006-7664-9 10.1016/S0377-2217(77)81007-2 10.1023/B:HCMS.0000005399.23600.69 10.1016/j.jhealeco.2003.09.005 10.1287/mnsc.27.5.507 10.1016/j.ijmedinf.2004.09.001 10.1057/palgrave/jors/2601278 10.1007/1-4020-8066-2_2 10.1057/jors.1979.220 10.1023/A:1020342509099 10.1016/j.ejor.2007.10.029 10.1111/j.1475-3995.2000.tb00216.x 10.1057/palgrave.jors.2602565 |
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| DOI | 10.1057/jors.2011.39 |
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| Keywords | 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 |
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| SubjectTerms | 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 |
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| Title | A multiobjective stochastic program for hospital bed planning |
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