Smart Quality is key in a connected industry

Manufacturing processes such as welding and stamping can be unstable and reach high rates of rework and even scrap and, therefore, reducing these rates will significantly increase productivity and reduce costs.

Artificial Intelligence applied to quality control

To achieve this improvement, Tecnomatrix, through and its Intelligent Quality System (IQS), proposes to implement real-time control and digitalization systems, artificial intelligence algorithms to achieve preventive systems and the integration of blockchain technology in order to guarantee the inviolability of data. This set of technological solutions accelerates the achievement of Quality 4.0 or Smart Quality and leads the way towards zero-defect manufacturing.

To achieve this goal, includes real-time data-visualization and decision-making tools, thanks to the digitization and integration of all the quality-related data, irrespective of whether the source is manual or machine-generated and regardless of the process from which it is collected, from audits to laboratory tests or cosmetic end-of-line controls.

In addition to analyzing real-time data, to achieve zero-defect manufacturing and foresee potential costs, machine learning algorithms are needed. For instance, they can be implemented to clustering all collected data and to apply predefined recipes based on artificial intelligence to improve and correct the manufacturing process. Consequently, adding value to quality data and creating self-correcting predictive systems which alert us from potential incidents.

Smart Quality Dashboard

Improvements in quality, and specifically its evolution towards an intelligent quality, must ensure data traceability and data integrity. In, the application of Blockchain technology ensures data integrity in key processes such as quality walls, as well as through Smart Contracts to validate the agreements between supplier and provider.

The present and future of the Intelligent Quality or Quality 4.0 must include the digitalization of control processes, the collection and integration of all data, the application of artificial intelligence in quality-management systems and the implementation of blockchain technology, to achieve zero-defect manufacturing.