Toward affordable systems electronic resource portfolio analysis and management for Army science and technology programs Brian G. Chow, Richard Silberglitt, Scott Hiromoto.

By: Contributor(s): Language: English Series: Publication details: Santa Monica, CA RAND 2009Description: 1 PDF-file (xxviii, 153 p. ) ill. (chiefly col.)ISBN:
  • 9780833046826
Other title:
  • Portfolio analysis and management for Army science and technology programs
Subject(s): Online resources: Summary: Consistent with U.S. Department of Defense acquisition policy since 2003, U.S. Army leadership has called for consideration of lifecycle cost at system design and technology development stages so that adjustments can be made early enough to ensure affordability. This study developed and demonstrated a method and model to incorporate lifecycle cost into the portfolio analysis and management process for Army Science and Technology programs. The linear programming model developed here can select an optimized portfolio of Science and Technology projects to meet all individual capability requirements at the lowest total remaining lifecycle cost. The study results demonstrate several applications important to the management of Army Science and Technology programs, as well as estimation methods for the contribution of Science and Technology projects to capability requirements and for cost components.
Item type: report
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Holdings
Current library Call number Status Date due Barcode
SIPRI Library and Documentation CD105 G10_159 Available G10/159

Description based on print version record

Consistent with U.S. Department of Defense acquisition policy since 2003, U.S. Army leadership has called for consideration of lifecycle cost at system design and technology development stages so that adjustments can be made early enough to ensure affordability. This study developed and demonstrated a method and model to incorporate lifecycle cost into the portfolio analysis and management process for Army Science and Technology programs. The linear programming model developed here can select an optimized portfolio of Science and Technology projects to meet all individual capability requirements at the lowest total remaining lifecycle cost. The study results demonstrate several applications important to the management of Army Science and Technology programs, as well as estimation methods for the contribution of Science and Technology projects to capability requirements and for cost components.

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