A multiobjective stochastic program for hospital bed planning / F. Ben Abdelaziz in Journal of the operational research society (JORS), Vol. 63 N° 4 (Avril 2012)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 63 N° 4 (Avril 2012) . - pp. 530–538 Titre : A multiobjective stochastic program for hospital bed planning Type de document : texte imprimé Auteurs : F. Ben Abdelaziz, Auteur ; M. Masmoudi, Auteur Année de publication : 2012 Article en page(s) : pp. 530–538 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Hospital bed capacity management Multiobjective stochastic programming Goal Chance constrained approach Recourse Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n4/abs/jors201139a.html [article] A multiobjective stochastic program for hospital bed planning [texte imprimé] / F. Ben Abdelaziz, Auteur ; M. Masmoudi, Auteur . - 2012 . - pp. 530–538. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 4 (Avril 2012) . - pp. 530–538 Mots-clés : Hospital bed capacity management Multiobjective stochastic programming Goal Chance constrained approach Recourse Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n4/abs/jors201139a.html

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