Industrial process optimisation with JIAC

  • Authors:

  • Marco Lützenberger;Tobias Küster;Thomas Konnerth;Alexander Thiele;Nils Masuch;Axel Heßler;Jan Keiser;Michael Burkhardt;Silvan Kaiser;Jakob Tonn;Sahin Albayrak

  • Affiliations:

  • Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany;Technical University of Berlin, Berlin, Germany

  • Venue:
  • Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this demonstration we present the EnEffCo project as a showcase for the JIAC V agent framework. EnEffCo addresses the problem of optimising energy consumption in industrial production processes. As the optimisation of the processes is handled by JIAC V agents, the project profits from a number of industry-grade software features of the JIAC V framework, such as stability, reliable communication, standard compatibility and management interfaces.