Data-driven patient scheduling in emergency departments : a hybrid robust-stochastic approach

Shuangchi He, Melvyn Sim, Meilin Zhang

Year of publication:	2019
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
Subject:	healthcare operations \| patient scheduling \| robust optimization \| stochastic programming \| mixed integer programming \| queueing network \| Scheduling-Verfahren \| Scheduling problem \| Patienten \| Patients \| Krankenhaus \| Hospital \| Gesundheitsversorgung \| Health care \| Ganzzahlige Optimierung \| Integer programming \| Warteschlangentheorie \| Queueing theory \| Stochastischer Prozess \| Stochastic process \| Robustes Verfahren \| Robust statistics \| Notaufnahme \| Emergency department \| Prozessmanagement \| Business process management \| Mathematische Optimierung \| Mathematical programming \| Operations Research \| Operations research \| Gesundheitswesen \| Health care system \| Dynamische Optimierung \| Dynamic programming

Online Resource

Check full text access |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

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

A service of the