46 # Output variables this_unit_cost = first_unit_cost * (learning_rate ** (np.log(units_produced) / np.log(2))) cumulative_cost = np.cumsum(this_unit_cost) average_cost = cumulative_cost / units_produced # Graphs and tables plt.plot(units_produced, cumulative_cost) plt.xlabel('Units Produced') plt.ylabel('Cumulative Cost') plt.show() df = pd.DataFrame({'Units Produced': units_produced, 'This Unit Cost': this_unit_cost, 'Cumulative Cost': cumulative_cost, 'Average Cost': average_cost}) print(df) # Export to CSV df.to_csv('C:/Users/use/folder/sbsp manufacturing learning curve.csv', index=False) Estimating costs for technology development: Aerospace inferred technology development costs from successful NASA Science Mission Directorate missions, Mankins and Sasaki, and Brunner et al. (Brunner & Jack, 2006). Aerospace applied the same cost factor to both systems but given the recent technology demonstration by Caltech (Caltech, 2023), we adjusted RD2’s TRL level to 6. Technology development costs are estimated to be 35% of hardware costs for RD1 (assuming TRL 4), and 25% of hardware costs for the RD2 (assuming TRL 6). Estimating costs for mission project management, systems engineering, and mission assurance: Aerospace estimated in-space mission operations costs using a proprietary tool, the Mission Operations Cost Estimation Tool (MOCET), and a combination of NASA Science and commercial constellation mission analogies. Mission PM/SE/MA costs are assumed at 25% of combined spacecraft Hardware, Shielding, Maintenance Hardware, and Technology Development. ConOps Phase 2: Assemble Assemble Components • Manufacture servicers • Launch SBSP modules and servicers to LEO • Refuel launchers in LEO for orbital transfer to GEO • Assemble SBSP modules in GEO with servicers • Perform mission operations and data analysis to assemble • Perform mission support services of program management, systems engineering, and mission assurance
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