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Optimizing system resilience: A facility protection model with recovery time

Losada, C., Scaparra, M.P., O'Hanley, J.R. (2012) Optimizing system resilience: A facility protection model with recovery time. European Journal of Operational Research, 217 (3). pp. 519-530. ISSN 0377-2217. (doi:10.1016/j.ejor.2011.09.044) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:29484)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1016/j.ejor.2011.09.044

Abstract

Optimizing system resilience is concerned with the development of strategies to restore a system to normal operations as quickly and efficiently as possible following potential disruption. To this end, we present in this article a bilevel mixed integer linear program for protecting an uncapacitated median type facility network against worst-case losses, taking into account the role of facility recovery time on system performance and the possibility of multiple disruptions over time. The model differs from previous types of facility protection models in that protection is not necessarily assumed to prevent facility failure altogether, but more precisely to speed up recovery time following a potential disruption. Three different decomposition approaches are devised to optimally solve medium to large problem instances. Computational results provide a cross comparison of the efficiency of each algorithm. Additionally, we present an analysis to estimate cost-efficient levels of investments in protection resources.

Item Type: Article
DOI/Identification number: 10.1016/j.ejor.2011.09.044
Uncontrolled keywords: OR in strategic planning; Location; Protection; Bilevel programming; Decomposition
Subjects: Q Science > Operations Research - Theory
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Jesse O'Hanley
Date Deposited: 16 May 2012 11:56 UTC
Last Modified: 19 Sep 2023 15:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/29484 (The current URI for this page, for reference purposes)

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