Perspectives on Modeling Interdependent Infrastructure Network Resilience
Kash Barker – University of Oklahoma
April 9, Friday, 16:00 (GMT+3)
The seminar will be via Zoom.
Please contact to the department for the Zoom Meeting information details.
The importance of infrastructure networks to economic productivity, community health, and societal way of life requires a thorough set of models describing various aspects of their (i) vulnerability and (ii) recoverability. This talk provides several perspectives on modeling these two dimensions of resilience. The first research perspective includes a new tri-level optimization model for a protection-interdiction-restoration problem in interdependent networks along with hybrid solution algorithms. The second perspective offers a means to account for socio-economic factors in pre- and post-disruption investments with a social vulnerability measure. The third perspective addresses the real problem of routing restoration work crews on a transportation network to recover disrupted components in another infrastructure network. The fourth accounts for the wider spread economic impacts of infrastructure network disruptions, giving a means to measure the multi-industry effects of investing in vulnerability and recoverability strategies. Other topics in restoration facility location and component importance measures will be discussed, as well as on-going and future research work.
Kash Barker is an Associate Professor, a David L. Boren Professor, and an Anadarko Presidential Professor in the School of Industrial and Systems Engineering at the University of Oklahoma. His work dealing with the reliability, resilience, and economic impacts of infrastructure and supply chain networks has been funded by the National Science Foundation, Department of Transportation, and Army Research Office, among others, and has resulted in 75 refereed journal publications and over 25 conference proceedings. He is an Associate Editor of IISE Transactions and Naval Research Logistics and is on the editorial board of Risk Analysis. He earned a Ph.D. in Systems Engineering at the University of Virginia following B.S. and M.S. degrees in Industrial Engineering from the University of Oklahoma.