sample_opt_27Jul_InputSeq_reduceInput_try.fsmAttached is a model that is designed to change the material type of storage whenever a silo goes empty and when the original type of material is exhausted. A list of parameters is used to indicate the type of material to change to when such situation arises. Upon reset, the values in the parameter will be written into a global table named "SiloAllocation".
During my manual run, I have deduced 1 set of change of type of materials for the silos that runs with success. That is, the stop time is lesser than 16301 and Finishedflag as 1.
In order to find all possible combination of changes of type of materials, range-based experiments are setup. However, it is noted that using the experimenter at times the combination that I know will give success, shows as failure in the result of the experimenter. The below is done and purposefully included the combination of my manual run.
a) Setup with only 2 tasks
It is seen that when I setup range-based experiments with only 2 tasks, the result from experimenter is the same as when I manually runs the model. My combination is Scenario 1 and it gives success.
Result can be seen from xx_try1_1_1.sqlite (in attached zip file). It matches to the "Range Based1_1_1" job ( 2 total tasks)
b) Setup with 300 over task
It is seen that the result failed to flag my manual combination to have FinishedFlag value as 1 (refer to scenario 316). Instead the experiementer result indicate the combination that matches my manual run has a FinishedFlag as 0.
I then choose to replicate this scenario from experimenter, the manual result returns FinishedFlag 1.
Result can be seen from xx_try1_1.sqlite (in attached zip file). It matches to the "Range Based1_1" job (324 total tasks)
Question: Is there any advice on what is causing this inconsistency?