Scaparra, Maria Paola and Church, Richard L. (2010) Protecting Supply Systems to Mitigate Potential Disaster: A Model to Fortify Capacitated Facilities. Working paper. University of Kent Canterbury, Canterbury (KAR id:25484)
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Abstract
Planning to mitigate the impacts of a disaster can be an important activity for both private companies and public agencies. In this paper we consider a supply system that provides needed goods or services to a region that may be the subject of some type of disaster, such as an attack by a terrorist or the result of a natural event or accident. The supply system is represented by a set of existing capacitated facilities. We assume that the loss of one or more facilities to a disaster will tighten available supply and increase the distances over which the service or good must be delivered, thereby increasing operation costs and
reducing service. Such a disaster may even reduce the capacity of the supply/storage to the extent that the goods must be rationed as remaining supply may be outstripped by
demand. We consider the case where resources may be available to mitigate some of the impacts of a possible disaster by the advanced protection of one or more facilities. We show how this problem can be formulated as a “tri-level” optimization model and propose a solution approach based on a tree search strategy. We demonstrate the policy implications of this model using a hypothetical planning problem. Through this example, we show how the results of our model can be used to inform planners and policy makers in disaster mitigation planning.
Item Type: | Reports and Papers (Working paper) |
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Additional information: | Working Paper Number 209 |
Uncontrolled keywords: | facility protection, disaster mitigation, bilevel programming, capacitated flow and transport |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Jennifer Knapp |
Date Deposited: | 08 Sep 2010 12:55 UTC |
Last Modified: | 05 Nov 2024 10:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/25484 (The current URI for this page, for reference purposes) |
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