On Continuous Connected Facility Location Problems

2015-05
Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

On Continuous Connected Facility Location Problems

Authors

Published Date

2015-05

Publisher

Type

Thesis or Dissertation

Abstract

An important but under-studied problem in location analysis is the so called connected facility location problem. In such a problem, each facility is connected with other facilities by a certain network structure and the problem seeks to optimize facility locations so that the total costs including facility connection cost are minimized. Although its applications are seen in a number of network design domains including retail, telecommunication and public transportation, this problem is quite challenging to solve mathematically. In this dissertation, we study the connected facility location problem when both the demand set and the feasible set are continuous. We first introduce the continuous connected facility location problem and perform an asymptotic analysis to the problem. We then introduce a constant factor approximation algorithm for the problem and provide worst case analysis for the algorithm. We extend our analysis to a generalized connected facility location problem where the backbone network takes several different configurations and give an asymptotic analysis and an algorithmic analysis for each configuration. We finally discuss generalizations of our model for alternative cost models and multilevel networks.

Description

University of Minnesota Ph.D. dissertation. May 2015. Major: Industrial and Systems Engineering. Advisor: John Carlsson. 1 computer file (PDF);viii, 112 pages.

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Jia, Fan. (2015). On Continuous Connected Facility Location Problems. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/174860.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.