Supply Chain Network Planning for Humanitarian Operations During Seasonal Disasters Page: 2
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Ponnaiyan, Subramaniam. Supply Chain Network Planning for Humanitarian Operations
during Seasonal Disasters. Doctor of Philosophy (Management Science), May 2013, 70 pp., 8
tables, 19 figures, references, 50 titles.
To prevent loss of lives during seasonal disasters, relief agencies distribute critical
supplies and provide lifesaving services to the affected populations. Despite agencies' efforts,
frequently occuring disasters increase the cost of relief operations. The purpose of our study is to
minimize the cost of relief operations, considering that such disasters cause random demand. To
achieve this, we have formulated a series of models, which are distinct from the current studies
in three ways. First, to the best of our knowledge, we are the first ones to capture both perishable
and durable products together. Second, we have aggregated multiple products in a different way
than current studies do. This unique aggregation requires less data than that of other types of
aggregation. Finally, our models are compatible with the practical data generated by FEMA.
Our models offer insights on the impacts of various parameters on optimum cost and
order size. The analyses of correlation of demand and quality of information offer interesting
insights; for instance, under certain cases, the quality of information does not influence cost. Our
study has considered both risk averse and risk neutral approaches and provided insights. The
insights obtained from our models are expected to help agencies reduce the cost of operations by
choosing cost effective suppliers.
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Ponnaiyan, Subramaniam. Supply Chain Network Planning for Humanitarian Operations During Seasonal Disasters, dissertation, May 2013; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc271880/m1/2/: accessed May 21, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .