Industrial Business Intelligence

Short description:
Business Intelligence applications are usually focusing on the areas of controlling and sales. Well-known problems are largely solved, although some aspects such as the information requirement analysis still remain largely untouched in comparison to other research fields. However, the situation regarding management support tasks in manufacturing poses a somewhat completely different challenge. Scientifically valid concepts such as lean management or the Six-Sigma approach are currently detached from ideas of IT-based, analytical management support and therefore are not able to render the problem in its entirety. Thus, the ability to access relevant information in time, i.e. without manual transformation processes, as well as a concept for correlation of historical data are missing- in other words, it lacks an integration and interaction with business intelligence concepts.

The focus of the research project evolves around the question, whether an integration of management concepts for production control (such as the lean management or the concept of six sigma) and business intelligence concepts can succeed. The research is based on a design science approach for developing an artefact that achieves the integration of the above mentioned approaches.

Project director:
Prof. Dr. Andreas Hilbert

Project term:
January 2012 - December 2014

Type of financing:
Collaborative R & D project funding (Sächsische AufbauBank, Robotron Datenbank-Software GmbH)