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iCubeSat 2012.A.1.4 A Cost Estimating Methodology for Very Small Satellites – Mary Boghosian

 
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Manage episode 157468903 series 1222602
Content provided by iCubeSat.org. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by iCubeSat.org or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This presentation summarizes an internal research and development effort at The Aerospace Corporation (Aerospace) to create a methodology for estimating the cost of very small satellites, including picosats and CubeSats.

Costing methodologies for picosatellites are of particular interest due to the fact that none of the currently available cost methodologies are applicable to this range of satellites, yet the capabilities of smaller satellites are advancing, and their production and launch frequencies are increasing. We at Aerospace Corporation have realized this need and have engaged in developing a cost methodology to cover the small satellite mass range (<50kg-0.1kg).

Through literature search and interviews with subject matter experts involved in the development of small satellites, we derived a new approach for costing. We named this new approach the Aerospace PIcosatellite COst MOdel (A-PICOMO). This new methodology required development of Cost Drivers unique to very small satellites and the validation of the drivers with historical data from completed picosat projects. We identified and defined two categories of cost drivers, System Size Drivers, and System Cost Drivers or (Project Drivers) that help characterize the complexity and cost of picosats.

In addition to describing the results of our research, we will describe our approach in developing the new cost methodology and the outcome of our initial validation. This presentation will also discuss observations and lessons learned in costing such small satellites.

iCubeSat.org.2012.a.1.4.Audio.128kbps.Boghosian

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7 episodes

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Manage episode 157468903 series 1222602
Content provided by iCubeSat.org. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by iCubeSat.org or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This presentation summarizes an internal research and development effort at The Aerospace Corporation (Aerospace) to create a methodology for estimating the cost of very small satellites, including picosats and CubeSats.

Costing methodologies for picosatellites are of particular interest due to the fact that none of the currently available cost methodologies are applicable to this range of satellites, yet the capabilities of smaller satellites are advancing, and their production and launch frequencies are increasing. We at Aerospace Corporation have realized this need and have engaged in developing a cost methodology to cover the small satellite mass range (<50kg-0.1kg).

Through literature search and interviews with subject matter experts involved in the development of small satellites, we derived a new approach for costing. We named this new approach the Aerospace PIcosatellite COst MOdel (A-PICOMO). This new methodology required development of Cost Drivers unique to very small satellites and the validation of the drivers with historical data from completed picosat projects. We identified and defined two categories of cost drivers, System Size Drivers, and System Cost Drivers or (Project Drivers) that help characterize the complexity and cost of picosats.

In addition to describing the results of our research, we will describe our approach in developing the new cost methodology and the outcome of our initial validation. This presentation will also discuss observations and lessons learned in costing such small satellites.

iCubeSat.org.2012.a.1.4.Audio.128kbps.Boghosian

  continue reading

7 episodes

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