Keywords and Phrases
Extreme Events; Supply Chain
"While strategies for emergency response to large-scale disasters have been extensively studied, little has been done to map medium- to long-term strategies capable of restoring supply chain infrastructure systems and reconnecting such systems from a local urban area to national supply chain systems. This is, in part, because no comprehensive, data-driven model of supply chain networks exists. Without such models communities cannot re-establish the level of connectivity required for timely restoration of goods and services. This dissertation builds a model of supply chain interdependent critical infrastructure (SCICI) as a complex adaptive systems problem. It defines model elements, data needs/element, the interdependency of critical infrastructures, and suggests metrics for evaluating success. Previous studies do not consider the problem from a systematic view and therefore their solutions are piecemeal, rather than integrated with respect to both the model elements and geospatial data components. This dissertation details a methodology to understand the complexities of SCICI within a real urban framework (St. Louis, MO). Interdependencies between the infrastructures are mapped to evaluate resiliency and a framework for quantifying interdependence is proposed. In addition, this work details the identification, extraction and integration of the data necessary to model infrastructure systems"--Abstract, page iv.
Long, Suzanna, 1961-
Smith, Brian Keith
Elmore, A. Curt
Engineering Management and Systems Engineering
Ph. D. in Engineering Management
Geological Survey (U.S.)
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Framework for modeling urban restoration resilience time in the aftermath of an extreme event
- Identifying geographical interdependency in critical infrastructure systems using publicly available geospatial data in order to model restoration strategies in the aftermath of a large-scale disaster
- Post disaster supply chain interdependent critical infrastructure system restoration modeling: A review of the necessary data
© 2015 Varun Ramachandran, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Natural disasters -- Planning
Physical distribution of goods -- Management
Electronic OCLC #
Link to Catalog Record
Ramachandran, Varun, "Modeling supply chain interdependent critical infrastructure systems" (2015). Doctoral Dissertations. 2392.