Pull items based on a statistical distribution

[vanessa_b3]

Hi !

I'm working on a model that represents a base stock model. The reorder point is 36 units and the economic lot is 228. When the inventory on the second queue reaches the reorder point, it opens the port of the processor to initiate a request.

The second processor should represent the demand and pull a quantity of items according to a statistical distribution (and not the process time). For example I'd like the processor to pull a quantity represented by the normal distribution (6,0.5,0), as in one day it should pull an average of 6 items, varying accordingly to the statistical distribution.

Also, it could be other entity to represent the demand and not necessarily a processor.

Is there any way to do this ?

Thanks!

modelo-base-63-com-horas-e-timetable-normal.fsm

[joerg_vogel_HsH · Accepted solution]

You can vary the capacity of the processor or of a queue. It is variable in the tree of those two objects. You close the input if the object reaches the set capacity per one day and after the day you open the input. You count and compare the amount of products by labels in the object. One contains the total amount per day, one the current received amount and another the rest of the current varied pull amount. If the pull amount is done you set the next pull amount by your statistical distribution.

Per user event or delayed message you reset the start values of the labels and the state of the input.