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NASA Successfully Estimates New Space Technology

Background
Chris Chromik, a long-time PRICE user and member of the IPAO at Langley Research Center provided independent cost estimates to Jet Propulsion Laboratory on the Space Interferometry Mission (SIM) project from Oct. 2000 through April 2001. Chris attributed his successful application of a parametric model to the totally new interferometry technology to the flexibility of the PRICE Hardware Estimating Model and the PRICE Software Estimating Model to model low level components.

Estimating at a lower level made the process more practical because at the subsystem level there are no technical or cost analogies. Open communication with engineers and analysts at Jet Propulsion Laboratory, TRW, and Lockheed Martin also contributed to the estimate's completion, and Chris considers this to be a key factor in successfully applying parametric models to the space environment.

The Approach for Modeling Interferometry
Chris approached this new technology by breaking down the subsystems (starlight, metrology, real-time control, precision support structure) into the components (~300 total "boxes"). While many of these components pushed the state of the art in functionality, they were items for which a range of complexity factors already existed in PRICE H (optics, electronics, structure). Chris went through every item with the project to find out the state of the design and engineering complexity.

Calibration
Chris calibrated at the "box level" wherever possible. This typically was done for common spacecraft components such as antennae, transponders, and where historical vendor prices were available. The spacecraft bus was about 80% calibrated. For the items that could not be calibrated such as the unique instrument components, Chris used the conceptual complexity generator in PRICE H. This is a tool the PRICE clients and consultants often use to determine complexity factors for uncalibrated items. The conceptual generators provide modeling guidelines based on functional descriptions, material type, number of parts, electronic component type. Also, Chris used the conceptual generator to crosscheck some of his calibrated complexity factors.

Schedule
The nominal schedule calculations in both PRICE H and S were used to verify the program management's schedule for SIM. Model output durations were exported to Microsoft Project and compared to the project schedule.

Challenges
Chris' greatest challenge was determining the appropriate integration levels in PRICE H and whether the highest integration input parameters would actually capture the difficulty. There were many redundant pieces of hardware in each subsystem, so some economies of scale had to be captured as well as integration costs for redundant hardware interfacing with multiple subsystems. Chris also had to model the subcontractor tiering levels which were complicated due to the organization of the integrated product development team. Modeling the various mark-up costs for each vendor at the appropriate level was a concern (estimating the multiple G&A fees if LM buying from vendor, for example). For all of these challenges, Chris was able to crosscheck his approaches with a PRICE Executive Consultant.

Keys to Success
According to Chris, PRICE can be applied to estimating new, space technology because it is flexible enough to estimate at low levels of detail that can often break complex subsystems into manageable components. Communication with the project team to model the development process, and with design engineers to translate technical parameters into model inputs is also instrumental in the successful application of PRICE.

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