**4. Debiasing by the design of decision support systems**

DSSs intend to improve the decision outcome by supporting the human decision-making process [6]. Therefore, in the design of DSSs, also human behavioral aspects need to be considered to get an unbiased decision outcome. Based on our identified cognitive biases in PPC decisions, we aim to give first recommendations for system developers of DSS.

The proposed framework of [9] serves as the basis and is extended by a socalled behavioral layer. In this, already in the design phase, the DSS should foresee adequate *debiasing techniques* to support planners properly and thus to positively affect logistic performance of the production system.

Debiasing is a method to reduce or eliminate the influence of cognitive biases within the decision process. Keren [27] proposed the following three steps for effective debiasing:


The proposed steps should be included in the design of a DSS. Based on our findings about the active cognitive biases in PPC, we already fulfilled the first step. In this section we contribute to the second step and aim to propose ways and techniques to lower the impact of biases. The third step then needs to be analyzed and observed over time.

These steps form the generic basis for a debiasing approach which contains further debiasing categories describing the concrete method of debiasing.

Kaufmann et al. [28] propose five categories for effective debiasing strategies in supplier selection processes:
