To read the full version of this content please select one of the options below:

Optimizing community healthcare coverage in remote Liberia

Paige VonAchen (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, USA)
Karen Smilowitz (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, USA)
Mallika Raghavan (National Community Health Systems, Last Mile Health, Boston, Massachusetts, USA)
Ross Feehan (Operations Team, Last Mile Health, Boston, Massachusetts, USA)

Journal of Humanitarian Logistics and Supply Chain Management

ISSN: 2042-6747

Article publication date: 5 December 2016

Abstract

Purpose

The purpose of this paper is to present a case study describing a collaboration with Last Mile Health, a non-governmental organization, to develop a framework to inform its community healthcare networks in remote Liberia.

Design/methodology/approach

The authors detail the process of using the unique problem setting and available data to inform modeling and solution approaches.

Findings

The authors show how the characteristics of the Liberian setting can be used to develop a two-tier modeling framework. Given the operating constraints and remote setting the authors are able to model the problem as a special case of the location-routing problem that is computationally simple to solve. The results of the models applied to three districts of Liberia are discussed, as well as the collaborative process of the multidisciplinary team.

Originality/value

Importantly, the authors describe how the problem setting can enable the development of a properly scoped model that is implementable in practice. Thus the authors provide a case study that bridges the gap between theory and practice.

Keywords

Citation

VonAchen, P., Smilowitz, K., Raghavan, M. and Feehan, R. (2016), "Optimizing community healthcare coverage in remote Liberia", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 6 No. 3, pp. 352-371. https://doi.org/10.1108/JHLSCM-03-2016-0006

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited