If average arrival rates are 1600 between 7 and 8 p.m., 1200 between 8 and 9 p.m., 400 between 9 and 10 p.m., these rates vary between 15% below and 15% above the average.
Hello @Kon Kon D,
Using a Date Time Source and using a statistical distribution in the quantity column of the table will allow you to have varying rates.
To test to see if this was working correctly, I assigned a number label to each time interval and then created a batch activity that would collect and group the tokens by that label.
Let me know if this answered your question or if you need more clarification.
Here is my model for reference.
Dear @Jeanette F,
I am so grateful for your response. But I never run simulation with process flow before. I was trying to get your answer by knowing about process flow. But I don't understand how to integrate process flow with simulation model. Is there any other way u can suggest please?
Hello @Kon Kon D,
I do not know how to implement this just using the model objects. Would you be willing to go through this tutorial to learn the basics of Process Flow? It is a powerful tool in FlexSim that expands your capabilities.
Dear @Jeanette F,
I am so glad to tell u that I'm finally able to run my model as your solution. But now another problem of this model has been arrived.
I want send the items to processor at maximum 30quantity pack. I do this by combiner but when it comes to the end of the queue where items are less than 30, then combiner doesn't work. Can u please help me with this problem?
12 People are following this question.
