Verify Distribution Values

Use this model object to check the values a distribution returns, e.g., for extreme and negative numbers. The model object isn’t used like most Model Objects because it isn’t copied into an existing model to add functionality. It is intended to be used as a stand-alone test of your distributions. The variable in the model can be used to view the minimum/maximum values or export each variable to Excel.

Verify Distribution Values model image

Where to Find the Model Object

The following model object can be found in the model objects directory:

  • Misc \ Verify Distribution Values

Difficulty Level

  • Ease of Use: Easy
  • Ease of Modification: Easy

How to Use the Model Object

  1. Open the Model Object: Locate the model object, Verify Distribution, and select the open button.
  2. Define Values: Go to the action logic tab of Verify Distribution Values, and replace the triangular distribution (T(1,10,15)) with the distribution you want to test.
    .
    change distribution in Verify Distribution Values.
  3. Steps to Verify Distribution Values
    1. Simulate the model: It will run for 40 hrs sending over 140,000 entities through your distribution.
      .
      simulate Verify Distribution Values.
    2. At the end of the simulation, click Yes to the prompt ‘Do you want to see the results?
      .

      view results in Remove Distribution Extreme Values.
    3. Click the Variables tab to review the variable statistics like; minimum, maximum and average values for the variable v_Test1.
      .
      variables tab in Verify Distribution Values.
    4. Click the Variable icon in Export section of the ribbon menu to export variable data to Excel, choose the location where you wish to save the file, and click Save.
      .
      variable export in Verify Distribution Values.
      If you use the distribution for a time value, ensure it does not return negative or extreme values! Suppose you see that the distribution returns negative values. In that case, you will either need to select another distribution or create action logic to bypass the negative values returned by the distribution. For example:a_Attrib = N(3,1)
      If a_Attrib < 0 Then {Time 0 Min}
      Else {Time a_Attrib Min}If you are encountering extreme values in your distribution, open the model object Remove Distribution Extreme Values.

Controls Usage

Variables:

  1. v_Test1: User input required. The return value of your distribution.
Was this article helpful?

Related Articles

Go to Top