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Demand drop at FG by dicrete optimizer due to rounding value mismatch in the components.

ayanbishnu1981
Active Contributor
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Dear Experts

I am facing an issue while running TS optimizer with discrete constraints and profit maximization mode.For a particular FG the demand is partially fulfilled. After running the optimizer with explaination mode, what is get is the following.

Issue: Independent demand can't be fully satisfied (Requested amount: 237704.000000, Fulfilled amount: 105000.000000, Explained amount: 132704.000000)

Reason: Required transport of 109289.973257 doesn't match the rounding value of 500.000000.

The above transport is for a component that is coming from a vendor to the plant and we have a tranport rounding value of 500 maintained in location source.

This is just one example component. The FG has approx 70 components the optimizer is giving the same reason for all this components.

Where things get interesting is, all this components are also used in other FGs as well, where optimizer is respecting the rounding values both at production header and location source level.

If anyone have come acrosss this issue or anything similar to these please feel free to share.

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Answers (1)

girish_nitie
Participant
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Hi ayanbishnu1981

How is the discrete solve solution quality, this is sometimes linked with poor solution quality where explanation log is unable to provide satisfactory explanation.

Also try to run with limited discrete constraints to check if it does a better job.

Thanks

Girish

ayanbishnu1981
Active Contributor
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Hi girish.nitie

The solve quality is excellent. Technical gap is less than 0.00082% and no warnings from that optimizer that the no of dicrete constraint is too large or any numerical issues as well.

I am running discrete with only incremental lot size for 30 weeks both at production and tranport. Somehow if I enable product decomposition the issue is not coming but I dont want to go there as decomposition has its own demerits.

First time in my APO and IBP career I am unable to find the optimizer root cause. 😞

girish_nitie
Participant
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looks weird in that case