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25 July 2008Parametric cost estimation for space science missions
Cost estimation for space science missions is critically important in budgeting for successful missions. The process
requires consideration of a number of parameters, where many of the values are only known to a limited
accuracy. The results of cost estimation are not perfect, but must be calculated and compared with the estimates that
the government uses for budgeting purposes. Uncertainties in the input parameters result from evolving requirements
for missions that are typically the "first of a kind" with "state-of-the-art" instruments and new spacecraft and
payload technologies that make it difficult to base estimates on the cost histories of previous missions. Even the cost
of heritage avionics is uncertain due to parts obsolescence and the resulting redesign work. Through experience and
use of industry best practices developed in participation with the Aerospace Industries Association (AIA), Northrop
Grumman has developed a parametric modeling approach that can provide a reasonably accurate cost range and
most probable cost for future space missions. During the initial mission phases, the approach uses mass- and powerbased
cost estimating relationships (CER)'s developed with historical data from previous missions. In later mission
phases, when the mission requirements are better defined, these estimates are updated with vendor's bids and "bottoms-
up", "grass-roots" material and labor cost estimates based on detailed schedules and assigned tasks.
In this paper we describe how we develop our CER's for parametric cost estimation and how they can be applied
to estimate the costs for future space science missions like those presented to the Astronomy & Astrophysics Decadal
Survey Study Committees.
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Charles F. Lillie, Bruce E. Thompson, "Parametric cost estimation for space science missions," Proc. SPIE 7018, Advanced Optical and Mechanical Technologies in Telescopes and Instrumentation, 701827 (25 July 2008); https://doi.org/10.1117/12.789615