Algorithmic Business and Production

The advancement of computers and the digital transformation of any aspect of our life not only creates massive amounts of data, but also demands the application of algorithms to derive business value.
Any business or production process follows the prediction – decision – action pattern. It takes available data to forecast the future in the form of some prediction. The prediction is the basis to conclude on a decision, which in turn determines how a human or artificial agent will behave by executing an action.

Recent years not only have shown that data quality plays a crucial role and that an approach following “there is no better data than more data” will not be optimal. Focusing on better data and the application of algorithms makes the difference. The combination of data and algorithms in an enterprise determines about competitive advantage.

Gartner defines “algorithmic business is the industrialized use of complex mathematical algorithms pivotal to driving improved business decisions or process automation for competitive differentiation” . Using algorithms to analyze data or to control manufacturing systems is nothing new. However, artificial intelligence research over the last decades has developed algorithms that provide enterprises with new capabilities in business and production.

Novel data sources enable us to understand events in a much more profound way using machine learning such that we can predict opportunities and challenges. Whereas prediction is the basis, planning the corresponding actions and being able to flexibly accommodate change, is the key for differentiation. AI not only helps to see opportunities, it also lays the foundation to take action.
AI has developed advanced planning and scheduling algorithms, constraint programming and satisfiability solvers, which are now ready for industrial application. Combined with mathematical optimization, these methods help enterprises to analyze and optimize business processes or streamline and adapt manufacturing processes.

The rapid change of technologies, the growing volatility of markets, and the need to react faster and more flexibly to these developments, require response and action in an automated and optimized way using AI algorithms.

Main research and application areas:

  • AI Algorithms for Advanced Planning & Scheduling
  • Business & Industrial Process Analytics and Optimization
  • Modeling for Industrial AI and Digital Twins
  • Embedding AI systems into the Enterprise Architecture
  • Conception, implementation, and evaluation of complex and scalable AI architectures

Contact

Assistant:
Dipl.-Übers. Andrea Nawrath-Herz
Phone: +49 681 85775 5257
Fax: +49 681 85775 5383

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Saarland Informatics Campus D3_2
Stuhlsatzenhausweg 3
66123 Saarbrücken
Germany

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz