Hi, I am working on a model to simulate operations from production orders. currently I have setup the model such that it first imports the following production orders from excel:
From excel import + post import code, I am able to convert these orders to tokens. From these order-tokens, I created child tokens which represent items of each respective order according to order quantity from the following process flow
The child tokes or "order items" are then split into respective production area process flow.
These child tokens are then intended to be run on their own production area which consist of 2 processor: FBOX Assy and ABOX Assy.
The individual processor will then process each item, which has the unique parent token label identifier "12NC" which will relate to the global table (FG_DESCRIPTION) to get the cycle time to process it.
for now, there are only 3 production area 9000.11,9000.09 and 9000.12.
I would like to subsequently scale up to 15 production area with the simulation able to take in many orders and run it as schedule. the orders should not be mix up with one another such that once an order is run it should run to complete even the next order is schedule to run it will be delayed.
from the completed scale up simulation, i would like to know the delays in orders, order end times.
1)is the method that I started with the right method with child tokens?test.zip
2)how do i go about this simulation so that it is scalable easily, and should I use only Process flow or model base function. as I do not want to mix up the function such as cycle time of the processor in the model or process flow.
would really really be helpful if you could answer with a small-scale solution continuing from my model. Thank you!
