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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Marques, I., M.E. Captivo & Pato, M.V. (2011). An integer programming approach to elective surgery scheduling in a Lisbon hospital. In Proceedings of the VII ALIO/EURO – Workshop on Applied Combinatorial Optimization. (pp. 181-183). Porto
Exportar Referência (IEEE)
I. M. Proença et al.,  "An integer programming approach to elective surgery scheduling in a Lisbon hospital", in Proc. of the VII ALIO/EURO – Workshop on Applied Combinatorial Optimization, Porto, 2011, pp. 181-183
Exportar BibTeX
@inproceedings{proença2011_1775181387100,
	author = "Marques, I. and M.E. Captivo and Pato, M.V.",
	title = "An integer programming approach to elective surgery scheduling in a Lisbon hospital",
	booktitle = "Proceedings of the VII ALIO/EURO – Workshop on Applied Combinatorial Optimization",
	year = "2011",
	editor = "",
	volume = "",
	pages = "181-183",
	publisher = "",
	address = "Porto",
	organization = "",
	url = ""
}
Exportar RIS
TY  - CPAPER
TI  - An integer programming approach to elective surgery scheduling in a Lisbon hospital
T2  - Proceedings of the VII ALIO/EURO – Workshop on Applied Combinatorial Optimization
AU  - Marques, I.
AU  - M.E. Captivo
AU  - Pato, M.V.
PY  - 2011
SP  - 181-183
CY  - Porto
AB  - Elective surgery planning is an important problem for any hospital. In particular, in Portugal, this problem reaches a level of great importance as it has direct relation with an ecient use of the operating theater, which also results on reducing waiting lists for surgery. Thus, a better surgical suite planning has economic and social impact. Both outcomes appear as guidelines of the Portuguese National Health Plan for 2004-2010. The authors present an integer linear programming model approach developed to address the elective surgery planning problem of a hospital in Lisbon, as well as results obtained with real data from the hospital. The results are analyzed in view of the impact on productivity indicators of the surgical suite and, as a
consequence, on the hospital's waiting list for surgery.
ER  -