Accession Number:

AD1016766

Title:

Modeling Uncertainty and Its Implications in Complex Interdependent Networks

Personal Author(s):

Corporate Author:

Office of Acquisition Resources and Analysis, OUSD (AT and L) Washington United States

Report Date:

2016-04-30

Abstract:

The overall goal of this paper is to continue our efforts to forge new ground in identifying the effects of interdependencies in large complex networked applications and, if needed, uncovering early indicators of interdependency risk so that appropriate risk mitigation actions may be taken. Specifically, we seek to study and quantify the impact of network characteristics on cascading risk. Cascading risk is defined as the propagation of programmatic issues across networked programs due to the interdependency of one program upon the other. Harnessing the extensive data that has been collected over the years in theform of Defense Acquisition Execution Summary DAES and Selected Acquisition Reports SARs documents for Major Defense Acquisition Programs MDAPS, we will present our intermediate results in our ongoing efforts on leveraging network structure and sequential data to study cascading risks. We will also identify the challenges to data acquisition.

Descriptive Note:

Conference Paper

Supplementary Note:

Thirteenth Annual Acquisition Research Symposium , 04 May 2016, 05 May 2016,

Pages:

0037

Communities Of Interest:

Modernization Areas:

Distribution Statement:

Approved For Public Release;

File Size:

1.80MB

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