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Link zu diesem Datensatz | https://d-nb.info/1331548497 |
Titel | Facility Location Under Uncertainty : Models, Algorithms and Applications / by Francisco Saldanha-da-Gama, Shuming Wang |
Person(en) |
Saldanha-da-Gama, Francisco (Verfasser) Wang, Shuming (Verfasser) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2024 |
Verlag | Cham : Springer International Publishing, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2024 |
Umfang/Format | Online-Ressource, XVI, 534 p. 22 illus., 9 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-55926-6 Printed edition:: ISBN: 978-3-031-55928-0 Printed edition:: ISBN: 978-3-031-55929-7 |
Inhalt | Introduction -- Principles and Background -- Discrete Facility Location Problems -- Decision Making under Uncertainty: Ingredients for Modeling -- Optimization under Uncertainty -- Modeling Paradigms and Solution Techniques -- Robust Facility Location -- Stochastic Facility Location -- Facility Location with Chance Constraints -- Distributionally Robust Facility Location -- Extended Models -- Location-Inventory Problems -- Facility Location with Routing Decisions -- Hub Location -- Logistics and Supply Chain Management -- Territory Design -- Comprehensive Uncertainty with Applications -- Bilevel Recycling Facility Location -- Multi-Period Hub Location with Time Series -- Data-Driven Robust Production Planning |
Persistent Identifier |
URN: urn:nbn:de:101:1-2406040414163.109506149318 DOI: 10.1007/978-3-031-55927-3 |
URL | https://doi.org/10.1007/978-3-031-55927-3 |
ISBN/Einband/Preis | 978-3-031-55927-3 |
Sprache(n) | Englisch (eng) |
Beziehungen | International Series in Operations Research & Management Science ; 356 |
DDC-Notation | 519.6 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 510 Mathematik |
Online-Zugriff | Archivobjekt öffnen |
