Locating facilities with resiliency to capacity failures and correlated demand uncertainty
Xiaohan Lu and
Chun Cheng
Transportation Research Part E: Logistics and Transportation Review, 2021, vol. 153, issue C
Abstract:
This paper studies a capacitated facility location problem under disruptions, where disruption risk not only diminishes facilities’ capacity partially or completely but also affects customers’ demand patterns. We use a budgeted uncertainty set to simultaneously capture facilities’ disruptions and customers’ uncertain demand caused by the failures of nearby facilities. Three two-stage robust optimization formulations with different objectives and performance bounds are built to model the problem. Both column-and-constraint generation algorithm and Benders decomposition method are implemented to solve the models. Numerical tests are conducted to study the impact of disruption correlated demand uncertainty and the performance of models and algorithms.
Keywords: Facility location; Disruption risk; Disruption correlated demand uncertainty; Two-stage robust optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554521002088
Full text for ScienceDirect subscribers only
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:eee:transe:v:153:y:2021:i:c:s1366554521002088
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic
DOI: 10.1016/j.tre.2021.102444
Access Statistics for this article
Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley
More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().