SNP Optimizer

[Former Member]

Hi,

Are there any techniques provided by a SNP Optimizer to resolve the constraints. If yes then what are they.

Thanks

[Former Member · Accepted solution]

Hi,

On the Solution Methods tab page, you need to define the optimization objective, which is a choice between either minimizing costs or maximizing profits. Here you can also define runtime restrictions, if necessary, or activate a decomposition procedure to solve large optimization problems. For example, to reduce runtime, you can choose a suitable linear programming solution procedure, or you can specify that you first want the system to find a first solution by running the heuristic without linear programming (to find an initial feasible solution in less time) and that you then want it to check for possible improvements.

For priority decomposition, define either a strict prioritization or a cost-based prioritization to specify whether you want the optimizer to use the demand priority or the costs priority as the determining factor when calculating the optimal solution. Strict prioritization should not be used together with the discrete optimization method. If you choose strict prioritization, you must also define the priority of the safety stock in relation to the other priority classes (such as customer demand).

You use aggregated planning to limit the size of the problem by executing planning only at product group level or by limiting planning to specific products and locations.

Regards

Vinod