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Facility Location Under Uncertainty

Models, Algorithms and Applications

Francisco Saldanha-Da-Gama, Shuming Wang
Livre relié | Anglais | International Operations Research & Management Science | n° 356
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Description

This textbook provides researchers, post-graduate students, and practitioners with a systematic framework for coping with uncertainty when making facility location decisions. In addition to in-depth coverage of models and solution techniques, application areas are discussed.

The book guides readers through the field, showing how to successfully analyze new problems and handle new applications. Initially, the focus is on base models and concepts. Then, gradually, more comprehensive models and more involved solution algorithms are discussed. Throughout the book, two perspectives are intertwined: the paradigm for capturing uncertainty, and the facility location problem at hand. The former includes stochastic programming, robust optimization, chance-constrained programming, and distributional robust optimization; the latter includes classical facility location problems and those arising in many real-world applications such as hub location, location routing, andlocation inventory.


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Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
534
Langue:
Anglais
Collection :
Tome:
n° 356

Caractéristiques

EAN:
9783031559266
Date de parution :
04-06-24
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 234 mm
Poids :
943 g

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