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Facility Location Under Uncertainty

其他書名	Models, Algorithms and Applications
出版	Springer Nature, 2024
ISBN	30315592749783031559273
URL	http://books.google.com.hk/books?id=iiAMEQAAQBAJ&hl=&source=gbs_api
EBook	SAMPLE

註釋Zusammenfassung: 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, and location inventory