How Artificial Intelligence Will Improve Future Production Work

In the production work of the future, autonomous systems will support people through data-based analyzes and intelligent solution patterns for value-adding activities. Experts from the two Fraunhofer institutes IPA and IAO in Stuttgart will show their guests at the “International Open Lab Day” on April 16, 2021 the benefits that artificial intelligence (AI) can bring.

In the future, AI could identify potential for optimization, make fitters’ work easier or set up personnel deployment plans: These are just a few examples of how AI can help make production more resilient and flexible. However, this does not mean that the human being becomes an assistant to the algorithms, but remains the director of the processes, works efficiently in an adaptive environment and no longer has to take on so many control tasks. Digital technologies help to make production work more human-centered. “In the Future Work Lab, we show the potential of cognitive assistance systems and participatory implementation methods for use in operational production systems”, says Simon Schumacher, project manager of the Future Work Lab at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA.

Together with his colleagues from the Fraunhofer Institute for Industrial Engineering and Organization IAO, the scientist has set up over 50 demonstrators in the Future Work Lab that cover the entire spectrum of future industrial work environments. On April 16, 2021, the two institutes invite you to the virtual International Open Lab Day from 9 a.m. (CET). The research team guides its guests live through the exhibition and shows a selection of new AI demonstrators:

AI in Process Optimization:
A portable, flexible data acquisition tool automatically reveals optimization potential in production. For this purpose, a modular sensor system was combined with AI-based algorithms for process recognition.

AI in Assembly:
To support human workers, object recognition with the help of augmented reality glasses is increasingly being used in assembly. For this, the corresponding software must be trained in advance with a large amount of high-quality data. Thanks to AI, this training is automated.

AI in Personnel
Planning : A flexible deployment of personnel enables short-term shift adjustments, contains time buffers for crisis or boom phases and offers employees attractive working hours. AI supports tailor-made planning.

Trustworthy AI:
Wherever people are affected by decisions made by AI, it is important to make their internal functioning and decision-making comprehensible. This transparency can help to increase the acceptance of AI.

You can register for the International Open Lab Day at this link.

For more information: www.ipa.fraunhofer.de


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