Ships Lifecycle Affordability Model (SLAM)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,964.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N65538-09-M-0058
Award Id:
92473
Agency Tracking Number:
N091-044-1494
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Patrick Cahill
Senior Systems Analyst
(979) 260-5274
pcahill@kbsi.com
Business Contact:
Jason Ogle
Senior Systems Analyst
(979) 260-5274
jogle@kbsi.com
Research Institution:
n/a
Abstract
Early design stage cost modeling tools in use by the Navy typically ignore lifecycle and sustainment costs, as the acquisition community functions separately from the operations community and with a completely separate budget. Recently, congressional committees and Navy senior management (civilian and uniformed) have recognized that there is a wide disparity between purchasing what you can afford, and then affording what you purchase. This gap between acquisition, production and operations needs to be addressed as early as possible through innovative and modern approaches to ship cost estimating, effectively eliminating the term ship design cost estimate and replacing with ship lifecycle affordability model. Knowledge Based Systems Inc. (KBSI) proposes to incorporate a systems dynamics approach to cost modeling, effectively combining discrete, linear, and hierarchical cost estimating methods with non-linear system dynamics modeling tools that account for variables that influence producibility and sustainability and change over time or refine themselves based on the current state of other influencing variables. This system dynamics approach to a Ships Lifecycle Affordability Model (SLAM), combined with production based, rather than systems based, early stage models will create visibility of cost drivers and potential cost drivers that currently remain hidden using existing cost estimating tools and methodologies.

* information listed above is at the time of submission.

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