Analysis

Information Retrieval, Analysis of Complex Data Sets

The analysis of complex data sets forms the basis for sound decision-making in logistics. By using information retrieval techniques, we extract relevant information from heterogeneous sources and prepare it for in-depth analysis. This approach enables us to identify patterns, dependencies, and inefficiencies in logistics systems and to develop tailored solution strategies based on these insights.

LRA members applying this Method:

• AIT Austrian Institute of Technology
• FH JOANNEUM
• University of Applied Sciences Upper Austria – Wels Campus
• University of Applied Sciences Upper Austria – Logistikum Steyr
• UAS Technikum Wien
• Fraunhofer Austria Research
• University of Applied Sciences St.Pölten
• Jürgen Schrampf (ECONSULT) (associate member)
• RISC Software
• Salzburg Research
• Graz University of Technology
• Technical University of Applied Sciences Würzburg-Schweinfurt
• University of Vienna
• Vienna University of Economics and Business