Development programs for aircraft engines (272 programs) and airframes (338 programs) were evaluated with step-wise regression analysis to find correlations with program cost; i.e., the coefficients of parametric models. Data covering the last 50 to 60 years were included to obtain robust log-log models with approximately 20 independent variables. Standard errors (S.E.E.) less than 0.10 (log megabucks), and multiple correlation coefficients (R-Square) greater than 0.995 were obtained, validating the use of data from programs in the distant past. Some unexpected influence coefficients were found for program cost drivers.


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    Title :

    Forecasting Engine and Airframe Development Cost


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Aerospace Technology Conference and Exposition ; 1995



    Publication date :

    1995-09-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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