EconPapers    
Economics at your fingertips  
 

Hub Location Models Under Uncertainty

Gita Taherkhani () and Sibel A. Alumur ()
Additional contact information
Gita Taherkhani: Loyola University
Sibel A. Alumur: University of Waterloo

A chapter in Uncertainty in Facility Location Problems, 2023, pp 337-354 from Springer

Abstract: Abstract In this chapter, we review models and methods that incorporate uncertainty in hub location problems. In particular, we present stochastic and robust optimization models to formulate different sources of uncertainty including demand and costs and confer when each approach is best suited for use. We further describe and discuss hybrid modeling approaches and other extensions. We also review the common solution methods that are used to solve hub location models under uncertainty.

Keywords: Hub location; Uncertainty; Stochastic programming; Robust optimization (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-32338-6_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031323386

DOI: 10.1007/978-3-031-32338-6_13

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-031-32338-6_13