Robust Optimization With Applications In Healthcare Operations Management
ZHANG MEILIN
ZHANG MEILIN
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Abstract
The combination of an increasingly complex world, the vast proliferation
of data, and the pressing need to stay one step ahead of
competition has sharpened focus on using analytics and optimization
for decision making. There is also a need to computationally exploit the wealth of data available in optimization problems by providing a
exible framework for modeling
uncertainty that incorporates distributional information, while preserving
the computational tractability for practical implementation.
As motivated by the importance of such a decision making process,
I investigate this procedure under robust optimization and extend
the ndings into real applications in health care operations management.
Keywords
Robust Optimization, Healthcare, Uncertainty, Data Analytics, Software
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Date
2014-08-22
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