Overcoming the last mile of humanitarian and health delivery supply chains : models and insights

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Abstract/Contents

Abstract
The "last mile" of a supply chain is the final step of that supply chain before the product reaches the end consumer. In humanitarian and health delivery supply chains, the last mile represents the final leg of the journey for health care or other assistance to reach beneficiaries, and is a critical bottleneck contributing to the acutely inadequate health care access in resource-limited regions. Operations research methodology can be used to evaluate, lessen, and ultimately overcome this bottleneck. In this dissertation, we present four models developed for this context. First, we develop an inventory model to analyze the interaction between a stockpile and a downstream relief operation for large humanitarian organizations such as the United Nations High Commissioner for Refugees. Second, we present an optimization model that explicitly includes treatment adherence when integrating a clinic's capacity decisions with population health outcomes. Our final two models investigate the effectiveness, then the efficiency and equity, of fleet management programs for health worker vehicles (e.g., nonprofit Riders for Health) in places like rural sub-Saharan Africa. Health access challenges are fundamentally supply chain problems, and these models are a first step in using operations research tools to improve health delivery in resource-limited regions. Humanitarian organizations must use their financial resources wisely to carry out their mandates, and models such as these can help organizations make the best use of their limited response resources.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English

Creators/Contributors

Associated with McCoy, Jessica Heather
Associated with Stanford University, Department of Management Science and Engineering
Primary advisor Brandeau, Margaret L
Thesis advisor Brandeau, Margaret L
Thesis advisor Johnson, M. Eric
Thesis advisor Lee, Hau Leung
Advisor Johnson, M. Eric
Advisor Lee, Hau Leung

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Jessica H. McCoy.
Note Submitted to the Department of Management Science and Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2012.
Location electronic resource

Access conditions

Copyright
© 2012 by Jessica Heather McCoy
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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