**7. Conclusions**

This paper presents a decision support system as a multi-criteria optimization problem. The model of the decision problem as a multi-criteria optimization problem allows for generating decision variants and tracking their consequences.

The interactive analysis is based on the reference point method. It allows the decision maker to determine solutions well suited to his preferences. A numerical example shows that the right computational problem can be solved efficiently using standard optimization software.

This type of decision support does not prejudge the final solution but supports and informs the decision maker on the specific decision problem. The final decision is to be made by the decision maker.
