Manufacturing industry

// Industries

The manufacturing industry is faced with the challenge of simultaneously increasing efficiency, quality and innovative strength in order to remain globally competitive. Precise control, continuous improvement and maximum plant availability are decisive factors here.

StatSoft supports companies with data-driven solutions that optimise production processes and raise quality to a new level. With innovative data analytics and AI, we make it possible to master challenges and fully utilise potential.

We provide our customers with added value in various areas and fields:

Quality assurance: Our solutions enable seamless quality monitoring, whether through quality control charts or multivariate analysis methods. Deviations are recognised in real time, preventing production errors at an early stage.
Process optimisation: With data-based approaches such as Six Sigma, we support companies in achieving continuous improvements and making their processes more efficient.
Predictive maintenance: Our predictive maintenance solutions identify maintenance and repair requirements at an early stage, minimise downtimes and maximise plant availability.

Image Recognition in Manufacturing

12.09.2024
Nick Verstegen

In industrial manufacturing, the analysis of image data enhances monitoring and optimizes defect detection. Standardized processes allow the use of machine learning (ML) to handle complex image signals. For more challenging tasks, AI models like Convolutional Neural Networks (CNN) offer more effective solutions. Discover how pre-trained models boost efficiency and the benefits this technology brings to real-world applications.

Machine Learning and AI in Manufacturing

15.08.2024
Nick Verstegen

Those traditional statistical methods are excellent tools, but they have certain limitations regarding their ability to respond to highly complex relationships in the data. This is where AI and ML come in.

Predictive Maintenance

27.06.2024
Juliane Berek

Physical maintenance can lead to costly interruptions in the manufacturing process. By means of predictive analytics, repair and maintenance can be scheduled based on real-time predicted failure probabilities.

How to Unlock the Power of Manufacturing Data with Machine Learning in Alteryx

22.05.2024
Nick Verstegen

The use of powerful tools, such as Alteryx AutoML and Machine Learning in Alteryx Designer, can ensure the optimisation and further development of manufacturing processes and create new opportunities and savings.