Industrial Business Intelligence

Project Description:

Business Intelligence, also known as supporting the management with decision relevant information, has traditionally focused on financial controlling and sales. The well-known problems of these business areas are generally solved today although certain question e.g. regarding information needs analysis are still not answered.

In contrast, management decisions in the production area are still not adequately supported. Scientific concepts in production like Lean Management or the Six-Sigma-Concept are currently completely detached from ideas of an IT-based, analytic management support. Thus, certain issues in production are only insufficiently solved. For example, it is not possible to access relevant information in a timely manner without performing manual transformation processes. Furthermore, management support in production lacks a concept of integrating historic data. In other words, the integration and interaction with Business Intelligence concepts are missing in the production area.

This is where the research project tries to analyze if it is possible at all and possibly how it is possible to integrate management concept for production control (like Lean Management or the Six-Sigma-Concept) with Business Intelligence concepts. The research is conducted in a design-oriented manner as typical for information systems research. Based on scientific methods a general concept to integrate the concepts stated above should be developed and finally evaluated. 

Due to its innovative but also its basic characteristics the project can be classified in between basic research and applied research.

Coordination:

Prof. Dr. Andreas Hilbert

Cooperation: 

FuE-Verbundprojektförderung (Sächsischen Aufbaubank, Robotron Datenbank-Software GmbH)

Duration:

2012/01/01 - 2014/12/30