Facility Location Under Uncertainty
Francisco Saldanha-da-Gama () and
Shuming Wang ()
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Francisco Saldanha-da-Gama: Sheffield University Management School
Shuming Wang: University of Chinese Academy of Science
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2024
ISBN: 978-3-031-55927-3
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Chapters in this book:
- Ch Chapter 1 Introduction
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 10 Facility Location with Routing Decisions
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 11 Hub Location
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 12 Logistics and Supply Chain Management
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 13 Territory Design
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 14 Bilevel Recycling Facility Location
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 15 Multi-Period Hub Location with Time Series
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 16 Data-Driven Robust Production Planning
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 2 Discrete Facility Location Problems
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 3 Decision-Making Under Uncertainty: Ingredients for Modeling
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 4 Optimization Under Uncertainty
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 5 Robust Facility Location
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 6 Stochastic Facility Location
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 7 Facility Location with Chance Constraints
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 8 Distributionally Robust Facility Location
- Francisco Saldanha-da-Gama and Shuming Wang
- Ch Chapter 9 Location-Inventory Problems
- Francisco Saldanha-da-Gama and Shuming Wang
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-031-55927-3
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DOI: 10.1007/978-3-031-55927-3
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