Within its State Level Concept (SLC), the International Atomic Energy Agency (IAEA) envisions a State Level Approach (SLA) for safeguards implementation that considers, inter alia, a State’s nuclear and nuclear-related activities and capabilities as a whole when developing an annual safeguards implementation plan. An unresolved issue for the implementation of safeguards under the SLC is the balance of effort amongst in-field and headquarters safeguards activities targeted at diversion, misuse, and undeclared scenarios remains. As underestimating a State’s capabilities may lead to false negative errors and untimely detection, determining “how much is enough” when searching for undeclared activities is essential for safeguards effectiveness and efficiency. As initial steps in this direction and to motivate further study, we qualitatively explore the theory of optimal search and stop – a mathematical approach for designing optimal search plans first developed for naval engagements and later applied to search and rescue operations – as it might be applied to the search for undeclared nuclear fuel cycle activities. Drawn from a literature review, approaches for establishing safeguards activities addressing undeclared activities are compared against a comparative framework inspired by search theory. Though not proposing a formal model, this comparison identifies commonalities and gaps in the approaches, and illustrates how optimal search theory might be further applied to the search for undeclared activities.

KIM Lance Kyungwoo;  RENDA Guido;  COJAZZI Giacomo; 

2016-11-18

Institute of Nuclear Materials Management

JRC100384

http://www.inmm.org/source/proceedingssearch/,    https://publications.jrc.ec.europa.eu/repository/handle/JRC100384,