To combat contamination of physical assets and provide reliable data to decision makers in the space and missile defense community, a modular open system architecture for creation of contamination models and standards is proposed. Predictive tools for quantifying the effects of contamination can be calibrated from NASA data of long-term orbiting assets. This data can then be extrapolated to missile defense predictive models. By utilizing a modular open system architecture, sensitive data can be de-coupled and protected while benefitting from open source data of calibrated models. This system architecture will include modules that will allow the designer to trade the effects of baseline performance against the lifecycle degradation due to contamination while modeling the lifecycle costs of alternative designs. In this way, each member of the supply chain becomes an informed and active participant in managing contamination risk early in the system lifecycle.


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    Titel :

    Modular Open System Architecture for Reducing Contamination Risk in the Space and Missile Defense Supply Chain


    Beteiligte:
    Seasly, Elaine (Autor:in)

    Kongress:

    Annual Space & Missile Defense Symposium ; 2015 ; Huntsville, AL, United States


    Erscheinungsdatum :

    2015-08-11


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch