"RESILIENCE-DRIVEN RESTORATION MODEL FOR INTERDEPENDENT INFRASTRUCTURE NETWORKS"
Date: Wednesday, 28th November, 2018
Time: 3:00 pm
Location: Building 22, Room 125
Dr. Yasser AL-Moghathawi
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Assistant Professor
Systems Engineering Department
King Fahd University of Petroleum and Minerals
Abstract:
Critical infrastructure networks such as electric power, water distribution, natural gas, transportation and telecommunications are the backbone of modern societies as they provide them with the services that are essential for their continuous functioning. However, these infrastructure networks are not isolated from each other but instead, they rely on one another to be functional. Hence, they are highly vulnerable to any disruptive event, which makes their restoration more challenging task for decision makers. In this work, we study the restoration problem of a system of interdependent infrastructure networks following a disruption event considering different disruptions scenarios. We propose a resilience-driven multi-objective restoration model using mixed-integer programming that aims to maximize the resilience of the system of interdependent infrastructure networks while minimizing the total cost associated with the restoration process. The restoration model considers the availability of limited time and resources and provides a prioritized list of components to be restored along with assigning and scheduling them to the available work crews. The proposed model is illustrated through a generated system of interdependent power-water networks.
Speaker Bio:
Dr. Yasser AL-Moghathawi is an Assistant Professor in the Systems Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. He received both his B.S. and M.S. degrees in Industrial and Systems Engineering from KFUPM and Ph.D. degree from the School of Industrial and Systems Engineering at the University of Oklahoma. His research interests broadly deal with operations research, including optimization, mathematical modeling, facility location, and sequencing and scheduling.
All faculty, researchers and graduate students are invited to attend.
