Embedded Analytics: Improving Decision Support for Humanitarian Logistics Operations
Document Type
Article
Publication Date
2019
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.
Source Publication
Annals of Operations Research
Recommended Citation
Griffith, D.A., Boehmke, B., Bradley, R.V. et al. Embedded analytics: improving decision support for humanitarian logistics operations. Ann Oper Res 283, 247–265 (2019). https://doi.org/10.1007/s10479-017-2607-z
Comments
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