1 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology An Engineering Systems Analysis of Space Station Assembly &

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Presentation transcript:

1 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology An Engineering Systems Analysis of Space Station Assembly & Supply Application Portfolio ESD.71 – Engineering Systems Analysis for Design December 5 th, 2006 Brandon Owens

2 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology The Engineering System: A LEO Space Station Assembled and supplied by Space Shuttle over a 10 year period –Comprised of multiple segments, each requiring a Space Shuttle launch An astronaut crew is needed to process payload –The maximum amount of payload that can be processed is directly proportional to the crew size –Crew is transferred to and from station on Space Shuttle and Soyuz Processed payload is assumed to be worth $21,000/kg

3 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Model of the Engineering System Production Function: Y payload returned = MIN [(η x N Shuttle Flights x M Shuttle return capacity at given inclination ), P crew ] Input Cost Function: C = C Shuttle variable cost x N Shuttle Flights + C Soyuz variable cost x N Soyuz Flights Cash Flows: Cash Flow i = V x (Y payload returned ) i – C i for all i Net Present Value: NPV =  Cash Flow i /(1+r) i for all i

4 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Uncertainties of the Engineering System Launch Vehicle Flight Rate –Determines the amount of payload returned Launch Vehicle Success Rate –Success criteria for missions to space stations are among the most stringent of missions to LEO –Launch sequencing is critical for space station assembly & supply Annual Budget of Space Programs –Proposed by President, approved by Congress Presidential Agendas –Presidents define goals of space station programs & reserves the right to change them And Many More

5 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Model of the Key Uncertainty The uncertainty analyzed is the annual Space Shuttle Launch Rate –Historical data from 1983 to 2006 (after the initial test flights) used to derive average and standard deviation –Launch rate is assumed to decay to 2.5 flights per year over the 10 years of assembly and supply Average # of Flights per Year4.67 Minimum # of Flights over a Year0 Maximum # of Flights over a Year9 Median # of Flights per Year6 Standard Deviation Annual Flight Rate2.63 Standard Deviation Annual Flight Rate (%) 56.4 % S T = Se vT  ln(S T /S)/T = v v = -6.24%/year

6 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology System Design Alternatives Alternative 1 (A1) –28.5  orbital inclination –Crew of four astronauts –Station only able interface with U.S. vehicles Alternative 2 (A2) –51.6  orbital inclination –Crew of seven astronauts—4 from the U.S. and 3 from Russia Requires two $20M Soyuz launches per year Alternative 3 (A3) –51.6  orbital inclination –Maximum crew size of seven (A3A) with option to terminate Russian participation (A3B) Option leads to an extra charge of $5M per Soyuz flight In the decision analysis, the option can be exercised after five years In the lattice analysis, the option can be exercised in the 0, 2 nd, 4 th, 6 th, or 8 th year

7 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Two-Stage Decision Analysis of Uncertainty Three events are possible at each stage –E1 = The Space Shuttle averages 5 launches/year –E2 = The Space Shuttle averages 4 launches/year –E3 = The Space Shuttle averages 3 launches/year The probability of each event is as follows: –P(E1) = –P(E2) = –P(E3) = –The probability of events in the second stage are assumed to be independent of events in the first stage Combinations of Events Successful Space Shuttle Missions over the 10 Year Period E 1 and E 1 50 E 1 and E 2 45 E 1 and E 3 40 E 2 and E 2 40 E 2 and E 3 35 E 3 and E 3 30

8 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Binomial Lattice Analysis of Uncertainty u = e (σ√∆T) = 2.22 d = e (-σ√∆T) = 1/u = 0.45 p = (v/σ) √∆T = OUTCOME LATTICE (Annual Launch Rate) Step 0Step 1Step 2Step 3Step 4Step

9 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Results According to the Decision Analysis: –The option adds no value when A 1 or A 2 is available According to the Lattice Analysis: –The option adds no value when A 1 is available –The option is worth $109M when A 1 is not available and should be executed at Time Step 0 Decisions are sensitive the assumed parameters for both techniques EV(A 1 )EV(A 2 )EV(A 3 ) Decision Analysis $(1,588M)$(1,547M)$(1,592M) Lattice Analysis $(3,581M)$(3,707M)$(3,598M) CREW SIZE LATTICE Step 0Step 1Step 2Step 3Step 4 4 Crew 7 Crew 4 Crew 7 Crew 4 Crew

10 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology Concluding Remarks Decision Analysis and Lattice Modeling are useful for gaining qualitative insights into the management of uncertainty in this system LEO space stations may be too complex and unique to derive useful quantitative information through decision and lattice analyses –Numerous assumptions were necessary to perform trivial calculations –Some of the results (e.g. 252 Space Shuttle launches in one year) will not be taken seriously by those who actually work with the system Decision Analysis can be more accurate than lattice analysis, but it can add a great deal of complexity to the analysis No analytic tool is equipped to answer every research question; care must be taken in selecting the right tool for the job

11 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology References Arianespace, (2004). Ariane V User’s Manual, Issue 4, Revision 0. Baker, David (editor), (2006). Jane’s Space Directory Harland, David M. and John E. Catchpole, (2002). Creating the International Space Station, Springer-Praxis, Chichester, U.K. Isakowitz, Steven J., (1995). International Reference Guide to Space Launch Systems, 2nd Edition. AIAA, Washington, D.C. Jenkins, Dennis R., (2002). Space Shuttle: The History of the National Space Transportation System –The First 100 Missions. Midland Publishing. Hinckley, UK. Launis, Roger D. and Howard E. McCurdy (editors), (1997). Spaceflight and the Myth of Presidential Leadership, University of Illinois Press, Campaign, IL. Robinson, Theresa, (2005). “Flexible Design of Space Shuttle External Tank,” ESD.71 Application Portfolios. MIT.

12 © 2006 Brandon Owens, Engineering Systems Division, Massachusetts Institute of Technology References (cont’d) United States, Columbia Accident Investigation Board, (2003). Columbia Accident Investigation Report. United States, National Aeronautics and Space Administration. NASA Budget Request Website: United States, National Aeronautics and Space Administration. NASA’s Future: The Vision for Space Exploration Website: United States, National Aeronautics and Space Administration. NASA Space Shuttle: Past Missions Website, Starsem (2005). Soyuz User’s Manual, Issue 3, Revision 0, April Wertz, James R. and Wiley J. Larson (editors), (1999). Space Mission Analysis and Design. 3rd Edition. Microcosm Press, El Segundo, CA.