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Facility Location Under Uncertainty : Models, Algorithms and Applications

Authors :
Francisco Saldanha-da-Gama
Shuming Wang
Francisco Saldanha-da-Gama
Shuming Wang
Publication Year :
2024

Abstract

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.

Details

Language :
English
ISBNs :
9783031559266 and 9783031559273
Volume :
00356
Database :
eBook Index
Journal :
Facility Location Under Uncertainty : Models, Algorithms and Applications
Publication Type :
eBook
Accession number :
3939536