Campus Units
Industrial and Manufacturing Systems Engineering
Document Type
Book Chapter
Publication Version
Submitted Manuscript
Publication Date
1-28-2021
Journal or Book Title
Applied Risk Analysis for Guiding Homeland Security Policy
First Page
284
Last Page
299
Research Focus Area(s)
Operations Research
DOI
10.1002/9781119287490.ch15
Abstract
Determining how to allocate resources in order to prevent and prepare for disruptions is a challenging task for homeland security officials. Disruptions are uncertain events with uncertain consequences. Resources that could be used to prepare for unlikely disruptions may be better used for other priorities. This chapter presents an optimization model to help homeland security officials determine how to allocate resources to prevent and prepare for multiple disruptions and how to allocate resources to respond to and recover from a disruption. In the resource allocation model, prevention reduces the probability of a disruption, and preparation and response both reduce the consequences of a disruption. The model is applied to the US Gulf Coast region and considers a Deepwater Horizon‐type oil spill and a hurricane similar to Hurricane Katrina.
Copyright Owner
John Wiley & Sons, Inc.
Copyright Date
2021
Language
en
File Format
application/pdf
Recommended Citation
MacKenzie, Cameron A. and Al Kazimi, Amro, "Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina" (2021). Industrial and Manufacturing Systems Engineering Publications. 261.
https://lib.dr.iastate.edu/imse_pubs/261
Comments
This is a manuscript of a chapter published as MacKenzie, Cameron A., and Amro Al Kazimi. "Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina." In S. Chatterjee, R.T. Brigantic, and A.M. Waterworth, eds., Applied Risk Analysis for Guiding Homeland Security Policy. New York: John Wiley & Sons (2021): 381-403. DOI: 10.1002/9781119287490.ch15. Posted with permission.