Predictive Quality

AI & Data Science solutions use Machine Learning algorithms and Advanced Analytics to analyze large amounts of production, process, and sensor data. The algorithms identify patterns and correlations that indicate potential quality problems. Through continuous monitoring and analysis of the data, the systems make precise predictions in an automated way. Subsequently, you will be able to take preventive action immediately.

Implementing Predictive Quality pays off from day one, wherever product quality assurance determines a company's success. This applies, for example, to the automotive industry: manufacturers and suppliers often use Predictive Quality to monitor the quality of car parts and vehicles and predict fluctuations. By analyzing production line data, such as welding data, assembly process data, and material quality data, predictions about the final product quality and adjustments can be made if necessary. Predictive Quality is also of utmost importance in the food industry, where not only the company's reputation but also the health of the end consumer depend on seamless quality control. Therefore, Predictive Quality is used to predict the shelf life of products. The analysis of data such as temperature, humidity, and other factors during the manufacturing process makes shelf life indications of the final product reliable and precise. Our innovative systems consider similar factors when determining the quality of pharmaceutical products.

The end result of implementing your individual Predictive Quality solution by our experts can be used directly by employees with little training. Machine operators receive immediate feedback during production about whether adjustments in the process are necessary. In addition, a recommender system for machine settings can be used, which gives your machine operators specific instructions for optimal configuration of the machines. The recommendations of the system take all factors into account that have led to high product quality under similar conditions.

A dashboard integrates the results of the quality prediction and the recommendations for machine settings and presents them to the machine operators in the form of an easy-to-understand color scale system. With optimal configuration of the machines, companies can reduce scrap, rework, and failures. At the same time, the dependency on individual experience is minimized, so that less experienced machine operators can also achieve optimal results.

The medium-term added value of implementing an AI & Data Science solution for Predictive Quality includes reduced quality assurance costs, improved production processes, and higher customer satisfaction. In the long term, Predictive Quality enables your company to continuously optimize product development and manufacturing, develop innovative high-quality products, and achieve a sustainable competitive advantage. This advantage arises from increased cost efficiency and your customers also benefit from a noticeably higher quality of your products in terms of appearance and functionality.

Quality is our daily business. After all, we already take care of data-driven quality assurance in numerous companies, who would never want to make do without our solutions anymore. The advantages in cost savings, product quality, higher productivity per employee, and reduction of nerve-wracking downtime speak for themselves. Or better yet, they speak for us! Because only experienced experts in a top-notch team can realize individual applications of this quality and according to your precise needs. Make use of our qualities now!