MARC Record from harvard_bibliographic_metadata

LEADER: 03380cam a2200373 a 4500
001 012784699-9
005 20110525161545.0
008 110328s2011 caua b 000 0 eng c
020 $a9780833051264 (pbk.)
020 $a0833051261 (pbk.)
035 0 $aocn709666436
040 $aYDXCP$cYDXCP$dSCT$dILU$dAFQ
042 $apcc
043 $an-us---
050 4 $aU393$b.C542 2011
100 1 $aChow, Brian G.
245 10 $aToward affordable systems II :$bportfolio management for Army science and technology programs under uncertainties /$cBrian G. Chow ... [et al.].
246 30 $aPortfolio management for Army science and technology programs under uncertainties
246 3 $aToward affordable systems 2
260 $aSanta Monica :$bRand Corporation,$c2011.
300 $axxxi, 92 p. :$bcol. ill. ;$c26 cm.
500 $a"Prepared for the United States Army."
500 $a"RAND Arroyo Center."
500 $a"MG-979-A"--P. [4] of cover.
504 $aIncludes bibliographical references.
520 $a"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 companion to Toward Affordable Systems: Portfolio Analysis and Management for Army Science and Technology Programs (Brian G. Chow, Richard Silberglitt, and Scott Hiromoto, Santa Monica, Calif.: RAND Corporation, MG-761-A, 2009) describes the continued development and demonstration of a method and model to incorporate lifecycle cost into the portfolio analysis and management process for Army Science and Technology (S&T) programs. Germane to the portfolio management process mandated by the Department of Defense and currently being implemented by the Army, this monograph demonstrates the application of the method and model in meeting Army capability gap requirements. In addition to the gap space coverage and the linear programming model described in the first monograph, the companion monograph introduces a simulation that takes into account the uncertainty regarding the success of S&T projects in meeting their goals and leading to fielded systems. The combination of this simulation with the linear programming model allows the identification of capability gap requirements that will lead to the development of new S&T projects, and this combination provides a means to develop an optimum portfolio that balances the remaining S&T and lifecycle costs for existing and new projects. Moreover, the process will create a new opportunity for dialogue among stakeholders and allow different viewpoints and perspectives to be analyzed objectively in the process of building an S&T portfolio."--Publisher description.
505 0 $aIntroduction -- The Expanded Method Including Models -- Applications of the Gap-Space Method -- Applications of the Full Method -- Findings and Recommendations -- Appendix A: Estimates of Expected Values -- Appendix B: Estimation of Marginal Implementation Cost for Systems Derivable from ATOs.
610 10 $aUnited States.$bArmy$xCost control.
650 0 $aMilitary research$zUnited States$xManagement.
650 0 $aMilitary research$zUnited States$xCost control.
710 2 $aArroyo Center.
988 $a20110525
049 $aKSGG
906 $0OCLC