I want to use historical data to get a distribution for my arrival rates it could be statical distribution or empirical distribution. How can I can have in parameter model setting I want to test baseline which the distribution of data or 2 times arrival rates and so on.... It is correct the way I set it here using the two options?modelinput.fsm
The parameter itself looks correct. But to get a value from it you need to use the following syntax:
Model.parameters["Parameter1"].evaluate(activity)
Parameter1 is evaluated as code and activity is passed in as the first parameter. If the difference between the option is only a static factor, then you could also only use the parameter to set the factor and then multiply the a value from the empirical distribution and the factor in the source directly.
Thank you @Felix Möhlmann it work now. in term of running the arrivals under different factors 2 times means half capacity or 0.5 double arrivals. Is that considered correct? in this example later on when I am changing these parameters using same empirical distribution with different factors
Yes, the inter-arrival time is the inverse of the arrival rate. Doubling it will half the throughput and vice versa.
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