| 書(shū)目名稱(chēng) | Facility Location Under Uncertainty |
| 副標(biāo)題 | Models, Algorithms a |
| 編輯 | Francisco Saldanha-da-Gama,Shuming Wang |
| 視頻video | http://file.papertrans.cn/341/340383/340383.mp4 |
| 概述 | Provides the first comprehensive introduction on Facility Location under Uncertainty.Discusses facility location models under modern developing trends.Discloses the future research directions |
| 叢書(shū)名稱(chēng) | International Series in Operations Research & Management Science |
| 圖書(shū)封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 2024 |
| 關(guān)鍵詞 | Decision Making; Engineering Design; Expert Ranking; Aggregation Technique; Ranking Aggregation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-55927-3 |
| isbn_softcover | 978-3-031-55929-7 |
| isbn_ebook | 978-3-031-55927-3Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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