Shopfloor AI

We are already working today on your digital store floor of tomorrow.

The digital transformation in the manufacturing sector is progressing rapidly. However, many companies are still facing challenges when it comes to implementing artificial intelligence (AI). According to a recent survey, 60% of respondents from European manufacturing companies stated that The biggest hurdle is a lack of expertise.
autfactory makes it easy to apply AI to your production data. You don’t need in-depth knowledge in this area yourself. We take care of the technology so that you can concentrate on the essentials: optimizing your processes and increasing efficiency. With autfactory, your store floor is already fit for tomorrow.

Nowadays, it is impossible to imagine our daily business without data collection and tracking. However, data alone only adds value to a limited extent; it is important to use the data in a meaningful way. In collaboration with our AI partner IconPro, we have dedicated ourselves to precisely this challenge. With autfactory, we deliver production data of exceptionally high quality. This makes it possible to feed the AI system with the best possible data.

Together, we were able to create a dashboard for the continuous identification of anomalies and quality deviations. This is then used to derive appropriate corrective measures and recommendations for action.
Detecting and analyzing patterns in the data becomes much easier and clearer for the user thanks to AI that can be explained. Clustering of relevant data also becomes possible, for example for more precise technical inspection, or for detailed analysis of borderline components.
This shifts the role of humans to decision-makers who make targeted and well-founded decisions based on the recommendations for action generated by the AI.

AI on the Shopfloor: Breakthrough in quality assurance

Artificial intelligence and deep learning on the store floor are no longer dreams of the future. We are also intensively involved with these technologies and were able to gain interesting insights for quality assurance in practice as part of a research project. In collaboration with our apartner, we were able to demonstrate, that after data preparation, analysis and training of the artificial intelligence:

We know which of the components are NOK before they are measured or confirmed by the final test bench!

AI-based solutions enable you to detect defective products at an early stage and remove them from production. Thus, defective end products can be reduced. The sample size for EOL quality checks can also be minimized, as AI could identify potential errors earlier than the current quality assurance process.

The use of artificial intelligence in production leads to significant cost savings. Thanks to early detection of defective parts, scrap and quality inspection costs can be minimized. In addition, the time spent on rework can be significantly reduced.

The near real-time analysis of production data performed by AI allows experienced users to focus on more important tasks (e.g., process and work improvements) instead of wasting their time on repetitive data analysis. The reconfiguration of the manufacturing process can also be performed by “non-experts” supported by AI guidance