Doctoral Dissertations
Keywords and Phrases
Critical infrastructure; Resource estimation; Restoration; Supply chain; Transportation network
Abstract
"Extreme events such as earthquakes, hurricanes, and the like, lead to devastating effects that may render multiple supply chain critical infrastructure elements inoperable. The economic losses caused by extreme events continue well after the emergency response phase has ended and are a key factor in determining the best path for post-disaster restoration. It is essential to develop efficient restoration and disaster management strategies to ameliorate the losses from such events. This dissertation extends the existing knowledge base on disaster management and restoration through the creation of models and tools that identify the relationship between production losses and restoration costs. The first research contribution is a system dynamics inoperability model that determines inputs, outputs, and flows for roadway networks. This model can be used to identify the connectivity of road segments and better understand how inoperability contributes to economic consequences. The second contribution is an algorithm that integrates critical infrastructure data derived from bottom-up cost estimation technique as part of an object-oriented software tool that can be used to determine the impact of system disruptions. The third contribution is a dynamic mathematical model that establishes a framework to estimate post-disaster restoration costs from a whole system perspective. 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"--Abstract, page iv.
Advisor(s)
Long, Suzanna, 1961-
Committee Member(s)
Corns, Steven
Qin, Ruwen
Konur, Dincer
Hu, XianBiao
Shoberg, Tom
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Sponsor(s)
U.S. Geological Survey
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2019
Journal article titles appearing in thesis/dissertation
- Modeling and simulation of emergent behavior in transportation infrastructure restoration
- Supply chain infrastructure restoration calculator software tool: Developer guide and user manual
- Bottom-up resource and cost estimation for restoration of interdependent critical infrastructure
Pagination
xii, 107 pages
Note about bibliography
Includes bibliographic references.
Rights
© 2019 Akhilesh Ojha, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 11547
Electronic OCLC #
1105154928
Recommended Citation
Ojha, Akhilesh, "Quantifying restoration costs in the aftermath of an extreme event using system dynamics and dynamic mathematical modeling approaches" (2019). Doctoral Dissertations. 2788.
https://scholarsmine.mst.edu/doctoral_dissertations/2788