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Embedded analytics: improving decision support for humanitarian logistics operations

Published on Dec 1, 2019in Annals of Operations Research2.284
· DOI :10.1007/S10479-017-2607-Z
Daniel A. Griffith1
Estimated H-index: 1
(AFIT: Air Force Institute of Technology),
Bradley C. Boehmke4
Estimated H-index: 4
(AFIT: Air Force Institute of Technology)
+ 2 AuthorsAlan W. Johnson7
Estimated H-index: 7
(AFIT: Air Force Institute of Technology)
Abstract
Analytical techniques continue to advance in efficacy, as well as complexity. However, it is sometimes unrealistic to employ complex analyses during time-constrained humanitarian disaster operations. We propose that simple, embedded analytics tools can provide an effective and practical means toward managing humanitarian operations. In this paper, we demonstrate a real-world application of our technique in a patient evacuation context. This paper contributes to literature and practice by showing how simple analytic methods and open-source imagery tools can offer significant value to the humanitarian operations literature. The application also highlights some challenges to drawing a clear picture from disparate data sources in the humanitarian operations domain.
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