Configuring the Monte Carlo Sampling Technique

You can configure the Monte Carlo Sampling technique.

  1. Double-click the Six Sigma component icon .

    The Six Sigma Component Editor appears.

  2. From the General tab's Analysis Type list select Monte Carlo Sampling, and from the Technique list select Descriptive Sampling, Simple Random Sampling, or Sobol Sampling.

  3. Set the following options in the Sampling Technique Options area,

    Option Description
    Number of Simulations Determine the number of simulations to be executed. The default number is 1000 for simple random sampling and 100 for descriptive sampling. A higher number of simulations specified generally results in an increase in the accuracy level of the statistical predictions.
    Use a fixed seed Select this option to manually specify the seed in the corresponding text box. If this option is not selected, Isight determines the seed randomly.

    Note: A fixed seed can also be set and used for the entire model. If a fixed seed is set for the model and also defined separately in the Six Sigma component, Isight uses the one defined in the Six Sigma component. If a fixed seed is set for the model and this option is not selected, the sequence of random numbers is based on the model’s random seed (and, thus, is still reproducible). For information about setting a fixed seed, see Setting the Execution Options in the Isight User’s Guide.

  4. Click OK to save your changes and to close the Six Sigma Component Editor.