• DocumentCode
    3209503
  • Title

    Cost-effective allocation of NASA´s rocket propulsion test assets

  • Author

    Gupta, Anil K. ; Tu, Anh Q.

  • Author_Institution
    Aerosp. Corp., El Segundo, CA
  • fYear
    2009
  • fDate
    7-14 March 2009
  • Firstpage
    1
  • Lastpage
    15
  • Abstract
    NASA´s vision for space exploration requires the development of several new rocket propulsion test articles such as the J-2X engine and the Orion propulsion. Enhanced testing capabilities are needed to properly address the feasibility, performance and lifetime aspects of new rocket propulsion technologies. The aerospace corporation performed a study to evaluate options for NASA´s existing and proposed rocket propulsion test assets that can meet emerging NASA, DOD and commercial requirements over the next decade. Alternate options for test facility allocation are developed with the objective of minimizing total cost over the planning horizon. The mathematical problem presented a special challenge in terms of multiple scenarios that exist for the current and intermittent states of these facilities while not in testing mode. Determining the optimal mix require a sophisticated model that can handle the six different states a facility can be in at a given point in time and ten different types of costs that may incur depending on the state. Costs are incurred when the facility is in active state as well as inactive state waiting for the next planned tests. Mathematical optimization and search algorithms were used to develop alternative solutions that satisfied the defined constraints. The problem also presented a challenge for commercial optimization software and was therefore augmented with internally developed algorithms.
  • Keywords
    aerospace computing; aerospace industry; aerospace propulsion; aerospace test facilities; aerospace testing; resource allocation; rocket engines; J-2X engine; NASA rocket propulsion test assets; Orion propulsion; commercial optimization software; cost-effective allocation; mathematical optimization; search algorithms; space exploration; test facility allocation; Aerospace testing; Asset management; Costs; Engines; Life testing; Performance evaluation; Propulsion; Rockets; Space exploration; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace conference, 2009 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4244-2621-8
  • Electronic_ISBN
    978-1-4244-2622-5
  • Type

    conf

  • DOI
    10.1109/AERO.2009.4839734
  • Filename
    4839734