Manufacturing industry

// Industries

StatSoft helps the manufacturing industry with data-driven solutions to raise efficiency and quality in production to the next level.

Our solutions enable seamless quality monitoring using quality control charts or multivariate analysis methods that detect deviations in real time and prevent production errors at an early stage.
With our focus on process optimization, we support companies in achieving continuous improvements through data-based approaches such as Six Sigma.
In addition, predictive maintenance solutions ensure that maintenance and repair requirements are identified at an early stage and downtimes are minimized.

In this way, we help companies to reduce costs, optimize processes and secure long-term competitive advantages with data-driven decisions.

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.