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.

Keywords:

• Bottom-up Cost Estimation
• Critical Infrastructures
• Disaster Restoration
• Resource Estimation

EMJ Focus Areas:

• Decision Making & Risk Management
• Program & Project Management

Additional information

Funding

This work was partially funded by US Geological Survey award number G13AC00028.

Notes on contributors

Akhilesh Ojha

Akhilesh Ojha is an Assistant Professor at the School of Business at Truman State University. He earned his PhD in Engineering Management from Missouri University of Science and Technology. He also holds an MS in Engineering Management from Missouri S&T, an MBA in Marketing and Finance, and a BE in Biotechnology from Panjab University, India. His research interests include supply chain and logistics management, disaster restoration, and critical infrastructure inter-dependencies and management.

Suzanna Long

Suzanna Long, PhD, CPEM, F.ASEM, F.IISE is Professor and Department Chair of Engineering Management and Systems Engineering (EMSE) at Missouri University of Science and Technology. She is an internationally recognized expert in critical infrastructure systems management focused on transportation/supply chain-logistics management, energy systems and organizational systems planning and effectiveness. She holds a PhD in engineering management from the University of Missouri Rolla.

Tom Shoberg

Tom Shoberg is a research geographer with the U.S. Geological Survey. He holds a PhD from Northwestern University in geological sciences, a MS in earth and planetary sciences from Washington University, a MS in physics from the University of Texas-Dallas and a BS in physics and BS in geology from University of Nebraska-Omaha. His research interests include data integration for complex systems and geomagnetic studies.

Steven Corns

Steven M. Corns is an Associate Professor of Engineering Management and Systems Engineering at Missouri S&T. He received his PhD degree in mechanical engineering from Iowa State University in 2008. Dr. Corns’ research interests include computational intelligence applications, the mechanics of information transfer in evolutionary algorithms, and model based approaches for complex systems design and analysis.