Data-driven patient scheduling in emergency departments : a hybrid robust-stochastic approach
Shuangchi He, Melvyn Sim, Meilin Zhang
| Year of publication: |
2019
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|---|---|
| Authors: | He, Shuangchi ; Sim, Melvyn ; Zhang, Meilin |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : INFORMS, ISSN 0025-1909, ZDB-ID 206345-1. - Vol. 65.2019, 9, p. 4123-4140
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| Subject: | healthcare operations | patient scheduling | robust optimization | stochastic programming | mixed integer programming | queueing network | Scheduling-Verfahren | Scheduling problem | Gesundheitsversorgung | Health care | Warteschlangentheorie | Queueing theory | Patienten | Patients | Krankenhaus | Hospital | Notaufnahme | Emergency department | Ganzzahlige Optimierung | Integer programming | Gesundheitswesen | Health care system | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mnsc.2018.3145 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012118545