Operations Research Applications in Disaster Management
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  • Operations Research Applications in Disaster Management

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IE-OPIM Joint Seminar
F. Sibel Salman – Koç University, College of Engineering
April 25, 2012, Wednesday
@ 13:40pm @ FENS G029
“Operations Research Applications in Disaster
Management: Under the Istanbul Earthquake Risk”

Effective allocation, coordination, dispatching, and distribution of resources are critical in
preventing loss when faced with disasters. Operations Research and Management Science
methodologies have the potential to impact the success of various pre-disaster planning and
post-disaster response activities. In this talk we will provide a brief overview of topics
addressed in the literature and the opportunities for further work in this area. We will give
examples to mathematical programming-based approaches with applications to disasterpreparedness
of the city of Đstanbul under earthquake risk. One such study is on investment
decisions for pre-disaster strengthening of infrastructure networks. In this study, we address a
pre-disaster planning problem faced by government agencies that seek to strengthen, under a
limited budget, an infrastructure network whose links are subject to random failures due to a
potential disaster. The next example is on location of emergency response and distribution
centers for effective post-disaster response logistics.

F. Sibel Salman
Sibel Salman is an Assistant Professor in Industrial Engineering
at Koç University, Istanbul. She got her Ph.D. in Operations
Research from Carnegie Mellon University in 2000 following
her M.Sc. and B.Sc. degrees in Industrial Engineering from
Bilkent University in 1994 and 1992. Prior to joining Koç
University in 2003, she held a faculty position at the Krannert
School of Management, Purdue University for three years. She
has published in the areas of telecommunication network design,
production scheduling, supply chain management, data mining,
as well as disaster mitigation and preparedness. Her current
research interests are in discrete optimization with applications
in logistics and disaster management. Further information can be
obtained from http://home.ku.edu.tr/~ssalman/.