Embedded Analytics: Improving Decision Support for Humanitarian Logistics Operations
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.
Annals of Operations Research
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