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A Statistical Approach to Advanced Space Technology Cost Estimation: Modeling…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67461
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-039-0325
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive Suite 400, Reston Plaza Reston, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: A Statistical Approach to Advanced Space Technology Cost Estimation: Modeling the Stochastic Component of the Projected Cost
Agency / Branch: DOD / USAF
Contract: FA9453-04-M-0134
Award Amount: $99,975.00
 

Abstract:

The advancement of space systems and technology to a large extent depends on our ability to cost-effectively progress from early technology conceptualization to development, maturation and implementation. While advanced space technology development is almost always a risky endeavor, it is critical to be able to asses the risks, costs, and benefits associated with these efforts. History has shown that it is often very difficult to accurately estimate the cost of such development activities. The ability to accurately estimate the cost of space technology programs, as a function of Technology Readiness Level (TRL), is key to effective cost and risk management of such activities. The underlying assumption for the proposed effort is that the overall cost of a complex project has a strong stochastic component, which originates from many unaccountable factors, such as human productivity, synergistic and nonlinear effects, external interference, and many others effects. Therefore we propose to look at the space technology development cost estimation problem from the statistical point of view, i.e. to treat the evolution of the project cost as a process with a stochastic component.

Principal Investigator:

Dan Cohen
Program Manager
5052427840
dan.cohen@plansys.com

Business Contact:

Paul Banas
Vice President
9856393529
pbanas@psislidell.com
Small Business Information at Submission:

PLANNING SYSTEMS, INC.
12030 Sunrise Valley Dr, Suite 400, Reston Plaza I Reston, VA 20191

EIN/Tax ID: 520959900
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No