LAUSR

ABSTRACT For many decision problems, the spatial availability of inputs or the spatial distribution of customers are important decision parameters that should be considered as precisely as possible. One example of such a decision problem is the strategic planning of so-called biorefineries. Biorefineries generate a variety of products from biomass, and their overall economic performance strongly depends on the regional availability of the scattered biomass inputs. However, spatial data is often omitted from performance analyses. In this paper, we show how spatial data can indeed be integrated into a decision support system using pre-editing in Geographic Information Systems (GIS) and GIS-Application Programming Interfaces (APIs). Towards this end, we describe the integration of spatial data into the planning process for two different biorefinery concepts in two different regions.