The Six Sigma methodology for quality improvement enabled a high degree of process compliance and enhanced process capability. This research develops a new model for optimizing the offset printing process based on the Six Sigma approach, with the aim of reducing process variability and achieving stable, predictable production outcomes. Special focus was placed on defining Critical Product Characteristics (CPCs) and Critical to Quality (CTQs) points and analysing their impact on process output quality, defined by the sigma level. Based on the research, variability limits of production parameters were defined to ensure consistency and high product quality. The integration of Artificial Intelligence (AI) within the Six Sigma framework allowed for additional automation and model adaptation to changing production conditions. The use of the Random Forest model enabled efficient analysis of critical variability points, prediction of potential deviations, and real-time process adjustment. AI is utilized to improve precision and efficiency in quality management, which further enhances process stability and optimization in line with the dynamic demands of modern production. The proposed model represents an innovative approach that facilitates maintaining stable production results and provides a sustainable foundation for future process optimizations in the printing industry.

Flexographic printing plate is used for the transfer of image onto a printing substrate. The surface of printing plate is stretched lengthwise when the plate is mounted on plate cylinder. As a result, the print length on the impression is always longer than the actual length of the plate. Prepress must compensate for this difference in length. The result of wrong plate distortion is different print length in flexography compared to the processes that follow printing. The aim of this paper is to research the influence of repeat length in printing and polymer plate thickness on the factor distortion. The distortion factor values were calculated using the derived formulas. Regardless of the repeat length in printing, the value of the thickness factor for a particular printing plate is constant. However, the values of the distortion factor decrease with the increasing thickness of the polymer plate and the decreasing of the total plate cylinder circumference.

The changing habits of consuming entertainment via digital channels have been well researched in contemporary academic papers, as has the migration of different forms and formats into digital environments. Often these migrations are based on familiarity for facilitating the smooth transition into the new format, with additions specific to the digital channel (e.g., animations, sound effects, 3D perspectives, etc.) that are supposed to enhance user experience. In this paper, we present a comparative study of visual elements used in physical and digital versions of two tabletop games (Monopoly and UNO). Results from a sample of 100 players of both versions show higher overall satisfaction when engaging with the physical version of the games and significantly lower satisfaction with various visual elements in digital versions, such as overall visual perception, colors, and visual appearance of some key elements of the games. On closer inspection, the results show that the tendency to overload user interfaces with an abundance of interactive and visually enhanced features may reduce game enjoyment and overall satisfaction with the game, presumably due to factors such as information overload and cognitive distraction. In conclusion, it seems that the rule “less is more” could also be applied to the digital transition explained in this article.