How can companies rely on AI in production planning? Buying software is not enough, that was clear even before the start of the it's OWL project 'Artificial Intelligence in Production Planning and Control', ARISE for short. At the end of the international project, which focused on the use of AI in production planning, experts from Fraunhofer IEM travelled to Canada to exchange ideas with project partners from The University of British Columbia and industry partners, among others.
"The core of the meeting was scientific networking and sharing the results of the research project," says Julian Weller from Fraunhofer IEM, who travelled to Vancouver, Victoria and Kelowna and Montréal together with Sebastian von Enzberg.
The goal of the it's OWL project ARISE
As part of the project, the team developed a procedure and tools for planning and implementing AI in production planning. A specification technique describes the cause-effect relationships of use cases in production, quantifies these with suitable metrics and specifies the existing and required data basis as well as the required AI methods. Based on concrete use cases in machine loading and sequence planning in production at Josef Schulte GmbH, AI methods have been systematically introduced and implemented.
The following were involved in the project: Fraunhofer IEM, Josef Schulte GmbH and the University of Paderborn.