@InProceedings{spark16-05,
  author =   {Steve Schaffer and Andrew Branch and Steve Chien and Stephen Broschart and Sonia Hernandez and Konstantin Belov and Joseph Lazio and Loren Clare and Philip Tsao and Julie Castillo-Rogez and E. Jay Wyatt},
  title =    {Using Operations Scheduling to Optimize Constellation Design},
  abstract = {Space mission design is a challenging task. Many factors combine to influence overall mission return, and it is extremely difficult a priori to predict which factors in concert will most influence mission return. These challenges are even greater for constellation missions, in which a potentially large number of spacecraft are used in concert to achieve mission goals, because constellations have additional design choices of number of spacecraft, orbit combinations, and constellation topology. 

We describe efforts to use automated operations scheduling to assist in the design and analysis of a family of radio science constellation missions. Specifically we work to produce a model-based approach to evaluating mission return based on key design variables of: target catalogue selection, constellation topology, size of the science constellation, size of the relay support network, orbit mix, communications capability, communications strategy, ground station configuration, onboard processing and compression, onboard storage, and other elements of operations concept. 

In our design methodology, choices on the design dimensions are evaluated by producing mission plans using automated scheduling technology and these resultant plans are evaluated for science return. By this approach we intend to enable evaluation of large numbers of mission configurations (literally 106 configurations) with manual assessment of only a small number of the best of these configurations.},
  keywords = {planning for design, space mission design, constellation design, space mission operations}
}

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J."],"year":null,"bibtype":"inproceedings","biburl":"icaps16.icaps-conference.org/spark16.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Steve"],"propositions":[],"lastnames":["Schaffer"],"suffixes":[]},{"firstnames":["Andrew"],"propositions":[],"lastnames":["Branch"],"suffixes":[]},{"firstnames":["Steve"],"propositions":[],"lastnames":["Chien"],"suffixes":[]},{"firstnames":["Stephen"],"propositions":[],"lastnames":["Broschart"],"suffixes":[]},{"firstnames":["Sonia"],"propositions":[],"lastnames":["Hernandez"],"suffixes":[]},{"firstnames":["Konstantin"],"propositions":[],"lastnames":["Belov"],"suffixes":[]},{"firstnames":["Joseph"],"propositions":[],"lastnames":["Lazio"],"suffixes":[]},{"firstnames":["Loren"],"propositions":[],"lastnames":["Clare"],"suffixes":[]},{"firstnames":["Philip"],"propositions":[],"lastnames":["Tsao"],"suffixes":[]},{"firstnames":["Julie"],"propositions":[],"lastnames":["Castillo-Rogez"],"suffixes":[]},{"firstnames":["E.","Jay"],"propositions":[],"lastnames":["Wyatt"],"suffixes":[]}],"title":"Using Operations Scheduling to Optimize Constellation Design","abstract":"Space mission design is a challenging task. Many factors combine to influence overall mission return, and it is extremely difficult a priori to predict which factors in concert will most influence mission return. These challenges are even greater for constellation missions, in which a potentially large number of spacecraft are used in concert to achieve mission goals, because constellations have additional design choices of number of spacecraft, orbit combinations, and constellation topology. We describe efforts to use automated operations scheduling to assist in the design and analysis of a family of radio science constellation missions. Specifically we work to produce a model-based approach to evaluating mission return based on key design variables of: target catalogue selection, constellation topology, size of the science constellation, size of the relay support network, orbit mix, communications capability, communications strategy, ground station configuration, onboard processing and compression, onboard storage, and other elements of operations concept. In our design methodology, choices on the design dimensions are evaluated by producing mission plans using automated scheduling technology and these resultant plans are evaluated for science return. By this approach we intend to enable evaluation of large numbers of mission configurations (literally 106 configurations) with manual assessment of only a small number of the best of these configurations.","keywords":"planning for design, space mission design, constellation design, space mission operations","bibtex":"@InProceedings{spark16-05,\r\n author = {Steve Schaffer and Andrew Branch and Steve Chien and Stephen Broschart and Sonia Hernandez and Konstantin Belov and Joseph Lazio and Loren Clare and Philip Tsao and Julie Castillo-Rogez and E. Jay Wyatt},\r\n title = {Using Operations Scheduling to Optimize Constellation Design},\r\n abstract = {Space mission design is a challenging task. Many factors combine to influence overall mission return, and it is extremely difficult a priori to predict which factors in concert will most influence mission return. These challenges are even greater for constellation missions, in which a potentially large number of spacecraft are used in concert to achieve mission goals, because constellations have additional design choices of number of spacecraft, orbit combinations, and constellation topology. \r\n\r\nWe describe efforts to use automated operations scheduling to assist in the design and analysis of a family of radio science constellation missions. Specifically we work to produce a model-based approach to evaluating mission return based on key design variables of: target catalogue selection, constellation topology, size of the science constellation, size of the relay support network, orbit mix, communications capability, communications strategy, ground station configuration, onboard processing and compression, onboard storage, and other elements of operations concept. \r\n\r\nIn our design methodology, choices on the design dimensions are evaluated by producing mission plans using automated scheduling technology and these resultant plans are evaluated for science return. By this approach we intend to enable evaluation of large numbers of mission configurations (literally 106 configurations) with manual assessment of only a small number of the best of these configurations.},\r\n keywords = {planning for design, space mission design, constellation design, space mission operations}\r\n}\r\n\r\n","author_short":["Schaffer, S.","Branch, A.","Chien, S.","Broschart, S.","Hernandez, S.","Belov, K.","Lazio, J.","Clare, L.","Tsao, P.","Castillo-Rogez, J.","Wyatt, E. 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