Linear vs Discrete Optimization

[Former Member]

Hi,

In the SNP optimization profile there are two options Linear and Discrete Optimization.

Apart from the Discrete Constraints what are the major differences between these two methods.

And in which bussiness scenario do we need to use them?

- Ram.

[Former Member]

Hi,

1. Liner Optimization method:

In this method, the optimizer takes into account, only the variable resource consumption defined in the production process models i.e. PPMs.

2. Discrete Optimization methos

If we want the optimizer to also take into account fixed resource consumption, we choose this method.

In this , we choose discrete optimization in the SNP optimizer profile and define a discretization horizon for the Fixed Material and Resource Consumption

Business Scenario:

We want to use fixed resource consumption to model "Set Up Times" during lot size planning with the SNP optimizer

Hope this helps.

Regards,

Datta

[Former Member]

Dear Ram,

Does the explanation resolve your query?

Regards

Datta

[Former Member]

Hi,

Its depends on your requirements. If your business need dicrete lot size for transportation, production, then you need to use discrete. even you need discrete production capacity increse then also you have to use discrete optimizer.

In solution method you should use 'heuristic is first solution' check box for high volume data.

Generally discrete optimizer takes more runtime as compare to linear, because of the no. of constrains are more there in discrete.

Thanks,

Satyajit