Abstract
dc:description.abstractDuring the first two decades of HIV/AIDS awareness, the U.S. and foreign governments responded slowly to the crisis. In contrast today, as the pandemic continues, initiatives of nonprofit organizations have dramatically increased the amount of available funding. Countries must work to effectively allocate the influx of resources. This paper examines one area for improvement within the context of the developing world: supply chain management. The HIV/AIDS supply chain in a resource-poor setting differs from traditional networks. In order to properly manage operational activities, it is important to understand inherent system complexities, such as bureaucratic funding, forced ordering, shrinkage, and human capital constraints. This research explores these issues and identifies five scenarios that impact performance measures. The model, developed through an integrated supply chain approach, simulates the effects of scenarios on inventory level, cycle service level, and missed treatment dosages. Supply chain planning without accounting for system complexities leads to significant drops in service performance from theoretical expectations. Countries should order excess inventory to compensate for these issues.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering Systems Division
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Cao, Elaine Phu
- Advisor dc:contributor.advisor
-
- Edgar Blanco.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/40108
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/40108