We analyse the process and product as well as the data and information systems available in a company. With this information, we develop behavioural models of the production process and products. In addition, we define mixed models which allow us to take into account the effect that process variables have on the product and vice versa.
Specifically for each company, we create diagnostic algorithms to determine the causes and effects in the production process, and predictive algorithms for product quality and safety, and to simulate possible production scenarios.
We integrate these algorithms and models into a single system that, when integrated into the company’s existing systems, can predict and manage food safety risks.