Diagnostic tool for issue categorization and capability determination in flexographic printing

Sammanfattning: Today communication, promotion and transaction of products are key functions of product packaging. The quality of the package print is therefore of great importance and needs to be consistent for large production quantities. One of the most common technologies for printing on paper or cardboard is flexographic printing. With this technology colors are applied one by one and through their combination new colors arise. However in order to successfully merge the different colors, it is essential that the colors align correctly. The aim of this master thesis was to design a diagnostic tool for a color-to-color register sensor system based on three sensor cameras. The system is a development project at Tetra Pak with the goal of further improving print quality by combining data from multiple sensors concurrently. The project was initialized with a literature study followed by the implementation of the design process. The design process was based on the user-centric design thinking process and consisted of four distinct phases. The final prototype includes a workflow, developed with Sympathy for Data, to process the raw sensor data. The workflow is combined with a user interface, developed in Power BI, allowing the user to better understand the processed data through interactive visualization. The final prototype serves as a proof of concept for the R2-DiToo development project at Tetra Pak.