An interactive DSS to improve decision-making in the (r,Q) policy

This paper proposes a Decision Support System (DSS) to consistently improve decision-making in a (r,Q) policy-based inventory system. Although literature offers a wide selection of contributions on (r,Q) policy, a solution that provides a systemic way to set the related inventory parameters seems to be lacking. The purpose of this paper is to develop a DSS based on what-if analyses that aims to identify the most suitable balance between service level and inventory cost. The application of the DSS in a real case study shows the benefits of the proposed solution.