Distributionally robust optimization under a decision-dependent ambiguity set with applications to machine scheduling and humanitarian logistics

Nilay Noyan, Gábor Rudolf, Miguel Lejeune

Year of publication:	2022
Authors:	Noyan, Nilay ; Rudolf, Gábor ; Lejeune, Miguel
Published in:	INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 2, p. 729-751
Subject:	controllable processing times \| decision-dependent ambiguity \| decision-dependent probabilities \| distributionally robust optimization \| earth mover's distances \| endogenous uncertainty \| network interdiction \| random link failures \| robust pre-disaster \| robust scheduling \| robustified risk \| stochastic scheduling \| Wasserstein metric \| Scheduling-Verfahren \| Scheduling problem \| Theorie \| Theory \| Robustes Verfahren \| Robust statistics \| Entscheidung unter Unsicherheit \| Decision under uncertainty \| Mathematische Optimierung \| Mathematical programming \| Risiko \| Risk \| Stochastischer Prozess \| Stochastic process \| Durchlaufzeit \| Lead time \| Lieferkette \| Supply chain

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1287/ijoc.2021.1096 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013361345