Data assessment for effective regional factory location selection
Abstract
Factory location selection is complex, uncertain and time-consuming while it entails long-term consequences and high costs. To enable faster and less subjective decisions we aim to develop a data-driven decision support system. This system contains suitable data sets representing important location selection factors preselected in this paper. The focus and main contribution of this paper is the regional focus of the developed holistic overview of factors and data sets. Finally, we give an outlook on how to analyse this data in the decision support system to be developed. Thereby, we enable more objective and sustainable factory location decisions.
Fields of Study & Subjects
Regional Economics and Spatial Analysis
Spatial and Panel Data Analysis
Regional resilience and development
Publication details
- Journal / source
- Procedia CIRP
- Publisher
- Elsevier BV
- Volume
- 138
- Pages
- 957–961
- Publication date
- 1 January 2026
- Language
- EN