Designing master surgery schedules with downstream unit integration via stochastic programming
Daniel Santos, Inês Marques
| Year of publication: |
2022
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|---|---|
| Authors: | Santos, Daniel ; Marques, Inês |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 299.2022, 3 (16.6.), p. 834-852
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| Subject: | Benders decomposition | Downstream units | Master surgery scheduling | OR in health services | Stochastic programming | Krankenhaus | Hospital | Scheduling-Verfahren | Scheduling problem | Stochastischer Prozess | Stochastic process | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Gesundheitsversorgung | Health care | Dekompositionsverfahren | Decomposition method | Ganzzahlige Optimierung | Integer programming | Gesundheitswesen | Health care system |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2021.09.030 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013207175