Using SLAM and SDL to assess space shuttle experiments

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Abstract
New tools simplify the development and simulation of models as well as the analysis and presentation of simulation results. The SLAM language allows the modeler to use network, dis crete event and continuous modeling prospectives in any combination to describe the different parts of a system. The SDL database management system allows the modeler to col lect simulation results, and at the same time to analyze and present these results independent of the simulation run. We applied SLAM and SDL in analyzing a package of experi ments for the Space Shuttle. The SLAM model of the experi mental package shows the utility of a combined network, discrete event, and continuous model. The SDL database illustrates the advantages of storing model run results, using the computer in comparing alternatives, defining and comput ing performance measures after simulation results are made, and generating reports and plots of model results in the data base. The results of our analysis were also of interest. Only a limited amount shuttle resources could be used by the package of ex periments. Thus, the simulation was used to determine the amount of memory needed for each experiment and for the microprocessor, as well as the reasons for the transmission delay for data from each experiment.