The MADAM project, Automatic Model for Anomaly Detection and Error Prevention with Machine Learning, is underway

Submitted by Judith Marti on 07 February 2024

Madam
  • The purpose of the project is to promote the modernization and efficiency of production processes through the application of digital technology and automation.
  • The implementation of this project will provide energy, economic and time savings and will reduce or avoid errors and unnecessary waste

The MADAM project consortium, which aims to research and develop this model, is formed by the companies Synaptik and Comexi, as suppliers of technological solutions for the flexible packaging industry, Dribia, as an innovation study in data science, RotorPrint, company specializing in the manufacturing and printing of flexible packaging and Packaging Cluster, as an entity accredited as AEI to coordinate and manage this project. The objective of the project is the acquisition of new knowledge in the field of anomaly detection in laminating machines and the development of a solution to anticipate and avoid or reduce these errors as much as possible. The success of this project will favor the reduction of waste, the improvement of product quality, optimization of machinery, an increase in productivity and savings in time and costs associated with repairs, maintenance, interruptions and machine stoppages. . Aspects that ultimately translate into greater customer satisfaction and a better brand image. Throughout the development of MADAM, the definition of requirements and the variables to be monitored will be carried out to determine the status of the different modules and components. Next, the data provided by the machinery will be obtained and stored in order to subsequently analyze, process and obtain a cause-effect model that allows preventing machine stoppages. Finally, a data and state visualization model will be implemented and an evaluation of the system and results will be carried out through machine testing. The project has a subsidy of €219,438 from the Ministry of Industry, Commerce and Tourism on a budget of €284,385, funding that will help obtain an automatic anomaly detection and error prevention model based on machine learning, through collaboration between companies and agents in the sector. The MADAM project is financed by the Ministry of Industry, Commerce and Tourism through the support program for Innovative Business Groups (AEI), within the framework of the Recovery, Transformation and Resilience Plan, with the aim of improving the competitiveness of the small and medium businesses.

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