Cameron Posted November 7, 2019 Share Posted November 7, 2019 Let's say I want exactly 100 entities arrive where the arrival of each one follows a normal distribution with mean 1 hour and standard deviation of 5 minutes from the start of the simulation. How can I model that within SIMIO? The interarrival time doesn't make sense because I don't know / care what the interrarrival time between each entity is. I realize that I could randomly generate 100 normal random variables outside of SIMIO and input them all as an appointment, but I am wondering if there is a better way especially if I want to do many replications with a different set of 100 random variables each time. Link to comment Share on other sites More sharing options...
GFurtado Posted November 7, 2019 Share Posted November 7, 2019 Check my attached model. I'm not sure if this was the best approach, but it works. I created two events: One is triggered 100 times to executes another process 100 times. Each process will run its own Delay step and fire the second event to trigger the source. Let me know if this isn't what you need. 100 entities.spfx Link to comment Share on other sites More sharing options...
gocken Posted November 7, 2019 Share Posted November 7, 2019 I attached a different solution to your problem to show how the same results can be gained via totally different approaches. 100 entities_different.spfx Link to comment Share on other sites More sharing options...
Cameron Posted November 14, 2019 Author Share Posted November 14, 2019 Thank you very much, both of you. Both approaches make sense to me. Link to comment Share on other sites More sharing options...
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