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  <title><![CDATA[INFORMS: CARE Positions Disaster Relief with Promising Discipline of Humanitarian Logistics]]></title>
  <body><![CDATA[<p>Operations research models developed by a team at the
Georgia Institute of Technology helped CARE International pick three locations
worldwide to supply relief quickly to victims of earthquakes, floods, and other
natural disasters, according to a paper in a journal of the Institute for
Operations Research and the Management Sciences (INFORMS). </p>

<p>"Pre-Positioning of Emergency Items for CARE
International" is by Serhan Duran, currently at the Middle East Technical
University in Ankara Turkey, and by Marco A. Gutierrez and Pinar Keskinocak of
the H. Milton Stewart School of Industrial and Systems Engineering, Georgia
Institute of Technology. It appears in a special issue of the INFORMS journal <em>Interfaces</em>
that is dedicated to the new, growing field of humanitarian logistics, which
relies on industrial concepts like supply chain management to benefit the
public sector. </p>

<p>The special issue is edited by Ozlem Ergun, Pinar
Keskinocak, and Julie Swann, who are directors of the Georgia Tech Center for
Health and Humanitarian Logistics. </p>

<p>A podcast interview with Professors Keskinocak and Swann is
at: <a href="http://www.scienceofbetter.org/podcast/swann.html">http://www.scienceofbetter.org/podcast/swann.html</a>
and at <a href="http://www.scienceofbetter.org/podcast">www.scienceofbetter.org/podcast</a>.</p>

<p>"The team's work not only gave us excellent
recommendations regarding locations, inventory levels, and an expansion strategy
for the network, but is also serving as the basis for funding proposals for the
network," writes Rigoberto Giron, Associate Vice President, Strategic
Initiatives and Supply Chain Management, CARE, in a post-script to the study.
"By pre-positioning we expect to reduce response time from weeks to 48-72
hours, reduce procurement costs by buying in larger quantities, reduce freight
costs by using transportation resources more efficiently and improve
coordination with other responding organizations."</p>

<p>The models created by the team helped CARE International
review 12 suggested international locations for opening new CARE warehouses and
finalize three, in Dubai, Panama, and Cambodia. They also helped CARE determine
that, although more is better, the benefits of multiple relief-supply
warehouses declines after the number reaches three to four, thus helping CARE
make maximum use of its limited resources.</p>

<p>In their research, the authors considered two kinds of
capacity constraints: the number of warehouses to open and the inventory
amounts to keep throughout the pre-positioning network. They ran their model
for the option of opening between one and nine warehouses and for three levels
of inventory – high, medium, and low. </p>

<p>With funding limited, they also helped make the critical
decision which warehouse location would be most valuable to open first. They
recommended that CARE open its first depot in the Middle East, expand to
Central America, and then to Southeast Asia. Given a gradual roll-out plan,
they were able to determine that once all three warehouses were operational,
the supplies should be divided 35% in Dubai, 15% in Central America, and 50% in
Cambodia.</p>

<p>If CARE obtains the resources to open a fourth warehouse in
Africa and a fifth in Europe, the authors' sensitivity analysis shows that the
relief organizational will be at its highest possible state of readiness to
respond to unforeseen disasters anywhere in the world.</p>

<p>The authors were able to make recommendations by modeling
the frequency, location, and magnitude of future demand based on historical
data about earlier CARE relief operations.</p>

<p>One of the first applications of the research took place
during the 2010 Haitian earthquake. With a million water purification kits and
other supplies at depots, CARE was able to rapidly deliver water purification
tablets to victims of the earthquake from its Panama warehouse.</p>

<p>The team's model is a mixed integer program that was run on
a 4 x 900 MHz processor using ILOG OPL Studio with the CPLEX solver.</p>

<p><strong>About INFORMS</strong></p>

<p>The Institute for Operations Research and the Management
Sciences (INFORMS®) is an international scientific society with 10,000 members,
including Nobel Prize laureates, dedicated to applying scientific methods to
help improve decision-making, management, and operations. Members of INFORMS
work in business, government, and academia. They are represented in fields as
diverse as airlines, health care, law enforcement, the military, financial
engineering, and telecommunications. INFORMS serves the scientific and
professional needs of operations research analysts, experts in analytics,
consultants, scientists, students, educators, and managers, as well as their
institutions, by publishing a variety of journals that describe the latest
research in operations research. INFORMS Online (IOL) is at <a href="http://www.informs.org/">www.informs.org</a>. Further information about
operations research can be found at <a href="http://www.scienceofbetter.org/">www.scienceofbetter.org</a>.
</p>]]></body>
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      <value><![CDATA[<p>Operations research models developed by a team at the
Georgia Institute of Technology helped CARE International pick three locations
worldwide to supply relief quickly to victims of earthquakes, floods, and other
natural disasters, according to a paper in a journal of the Institute for
Operations Research and the Management Sciences (INFORMS).</p>]]></value>
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      <value><![CDATA[<p><a href="mailto:barbara.christopher@isye.gatech.edu"><strong>Barbara Christopher</strong></a><br />Industrial and Systems Engineering<br /><strong>404.385.3102</strong></p>]]></value>
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