Title

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.

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DOI

10.1007/s10479-017-2607-z

Source Publication

Annals of Operations Research

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