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Key performance indicators in humanitarian logistics

Author(s)
Davidson, Anne Leslie
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Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
Edgar Blanco.
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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. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Non-profit humanitarian relief organizations have typically been unable to measure the performance of their supply chains due to an inability to centrally capture data from operations. With the recent development and implementation of information technology systems that can support the logistics function of these organizations, the data is now available to measure performance, but what is still lacking is a central framework of metrics that measures performance according to the organization's strategic goals. First, this thesis reviews the best practices noted in performance measurement systems of the logistics functions in military and commercial organizations and applies them to the humanitarian sector. Second, the thesis suggests a framework of key performance indicators to be implemented in an international non-profit humanitarian organization based on the unique strategic goals of the sector. The thesis then applies this proposed framework to two actual operations performed by this organization.
 
(cont.) The analysis performed herein proves that a measurement system would help strengthen the organization's ability to deliver goods to beneficiaries more efficiently and effectively. Finally, the thesis addresses feasibility issues of implementing a measurement system in the non-profit sector and also describes the next steps of opportunities related to measurement systems within humanitarian logistics.
 
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.
 
Includes bibliographical references (leaves 86-87).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/35540
Department
Massachusetts Institute of Technology. Engineering Systems Division
Publisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division.

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