Date of Graduation
8-2014
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Pohl, Edward A.
Committee Member/Reader
Parnell, Gregory S.
Abstract
The National Academy of Sciences has recently completed a study of the Global Nuclear Detection Architecture (GNDA) Metrics for the Department of Homeland Security's Domestic Nuclear Detection Office. This research uses the reports strategic framework and notional metrics (and additional information) to develop one overall measure of GNDA effectiveness. The potential benefit of one effectiveness measure would be ability to assess and communicate progress over time to the diverse group of national and international stakeholders and decision makers. This thesis uses the mathematics of multiple objective decision analysis to develop the effectiveness measure. A notional model was developed and it assesed the current architecture using publically available data. The report also shows examples of how notional potential GNDA improvements could increase GNDA effectiveness.
Citation
Hilliard, H. (2014). Evaluating the effectiveness of the Global Nuclear Detection Architecture using multiple-objective decision analysis. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/28
