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dc.contributor.advisorEdgar Blanco.en_US
dc.contributor.authorCao, Elaine Phuen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2008-02-04T20:47:00Z
dc.date.available2008-02-04T20:47:00Z
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/40108
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007.en_US
dc.description"June 2007." Vita.en_US
dc.descriptionIncludes bibliographical references (leaves 54-55).en_US
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.en_US
dc.description.abstract(cont.) Funding efforts should focus on training resources to properly manage treatment demand and target operational changes that yield the highest improvements on performance metrics. Short-run and long-run tactics must be aligned to avoid the threat of widespread resistance, which results from inconsistent treatment and poor patient care. The goal of this research is to understand the HIV/AIDS supply chain and identify the best areas for resource investment.en_US
dc.description.statementofresponsibilityby Elaine Phu Cao.en_US
dc.format.extent65 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEngineering Systems Division.en_US
dc.titleDecision making in the HIV/AIDS supply chainen_US
dc.title.alternativeDecision making in the Human immunodeficiency viruses/Acquired immune deficiency syndrome supply chainen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc184985805en_US


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