Model 3g - Inclusive Gateway with Probabilities
Goals of this lesson
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Usage of Inclusive Gateways with Probabilities instead of process variables
Model 3g uses probabilities to determine which sequence flows shall be pursued.
How-to
As in Model 3f we will use probabilities (or weighs) for each sequence flow at an inclusive gateway to determine the sequence flows to be pursued. Please have a look at the section Using Probabilities from the Gateway Decision Making chapter for more information.
Approach
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Just like in Model 3f we will parametrize the sequence flows' Probability properties with the same values:
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Top sequence flow: Probability = 0.1
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Middle sequence flow: Probability = 0.4
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bottom sequence flow: Probability = 0.5
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At inclusive gateways the sum of the sequence flows' probabilities does not matter, because the decision of the sequence flow to be pursued is not exclusive
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The sum can be smaller or bigger than 1
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Report
See below for the run configuration, which we set up to receive the report statistics from below.
Please refer to the section Experiment Results for more information on the report specific data.
Run configuration
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Stochastic Seed: 12345
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Simulation start date: 1/1/2014 12:00:00 a.m.
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Simulation stop time: 240
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Simulation stop time unit: Hours
Report statistics
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Have a look at this report’s gateway details (see Figure 2)
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This report’s gateway statistics resemble those from Model 3f’s report
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The only considerable difference is that the number of each sequence flow (n) has increased
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This bases on the fact, that the inclusive gateway allows multiple successive sequence flows
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Note that the relation between the sequence flows is almost equal to those of Model 3f
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