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  • A Comprehensive Methodology for Intelligent Systems Life-Cycle Cost Modelling

    Paper ID



    • David J. Korsmeyer
    • Henry Lum


    Information Sciences Division NASA Ames Research Center






    As NASA moves into the last part on the twentieth century, the desire to do “business as usual” has been replaced with the mantra “faster, cheaper, better”. Recently, new work has been done to show how the implementation of advanced technologies, such as intelligent systems, will impact the cost of a system design or in the operational cost for a spacecraft mission. The impact of the degree of autonomous or intelligent systems and human participation on a given program is manifested most significantly during the program operational phases, while the decision of who performs what tasks, and how much automation is incorporated into the system are all made during the design and development phases. Employing intelligent systems and automation is not an either/or question, but one of degree. The question is what level of automation and autonomy will provide the optimal trade-off between performance and cost. Conventional costing methodologies, however, are unable to show the significance of technologies like these in terms of traceable cost benefits and reductions in the various phases of the spacecraft’s life- cycle. The proposed comprehensive life-cycle methodology can address intelligent system technologies as well as others that impact human-machine operational modes.