Doctoral Dissertations

Keywords and Phrases

Extreme Events; Supply Chain

Abstract

"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.

Advisor(s)

Long, Suzanna, 1961-

Committee Member(s)

Corns, Steven
Qin, Ruwen
Smith, Brian Keith
Elmore, A. Curt

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Engineering Management

Sponsor(s)

Geological Survey (U.S.)

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2015

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

Pagination

217 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2015 Varun Ramachandran, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Infrastructure (Economics)
Emergency management
Natural disasters -- Planning
Business logistics
Physical distribution of goods -- Management

Thesis Number

T 10728

Electronic OCLC #

913414640

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