Bottom-Up Resource and Cost Estimation for Restoration of Supply Chain Interdependent Critical Infrastructure
Abstract
Extreme events can damage or destroy multiple supply chain interdependent critical infrastructures elements. Although much research has focused on developing efficient restoration strategies, and/or making critical infrastructures more resilient, practitioners need tools to determine resources necessary to restore such damage. The methodology developed in this research estimates both the resources required to support the repair personnel, and restore different infrastructure elements. This method uses a dynamic mathematical model that establishes a framework to estimate post-disaster restoration costs from a whole system perspective. The model is validated with a case study of the resources required to restore multiple infrastructures that were damaged by the EF-5 tornado that struck Joplin, Missouri on May 22, 2011. Engineering managers, city planners, and policy makers can use the methodologies developed in this research to develop effective disaster planning schemas and to prioritize post-disaster restoration operations.
Recommended Citation
A. Ojha et al., "Bottom-Up Resource and Cost Estimation for Restoration of Supply Chain Interdependent Critical Infrastructure," Engineering Management Journal, vol. 33, no. 4, pp. 272 - 282, Taylor & Francis, Aug 2020.
The definitive version is available at https://doi.org/10.1080/10429247.2020.1800387
Department(s)
Engineering Management and Systems Engineering
Research Center/Lab(s)
INSPIRE - University Transportation Center
Second Research Center/Lab
Intelligent Systems Center
Keywords and Phrases
Bottom-up Cost Estimation; Critical Infrastructures; Decision Making and Risk Management; Disaster Restoration; Program and Project Management; Resource Estimation
Geographic Coverage
Joplin, Missouri
International Standard Serial Number (ISSN)
1042-9247
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 American Society for Engineering Management (ASEM), All rights reserved.
Publication Date
19 Aug 2020
Comments
This work was partially funded by US Geological Survey award number G13AC00028.