## 4 Discussion
Figure 12: Level of interest in individual key areas of manufacturing companies, where KA1 is the automation of production processes, KA2 is the robotization of production processes, KA3 is the digitization of warehouse processes, KA4 is the flexibility of production systems, KA5 is the intralogistics of production processes (inter-station and inter-department transport), and KA6 is the integration of management, production, quality control, intralogistics, and warehousing systems. Figure 13: Level of interest in individual ADMA transformations, where T1 is the Advanced Manufacturing Technologies, T2 is the Digital Factory, T3 is the ECO Factory, T4 is the End-To-End Customer-Focused Engineering, T5 is the Human-Centered Organization, T6 is the Smart Manufacturing, T7 is the Value Chain-Oriented Open Factory. The development of robotization changes priorities from a long-term perspective. According to the entrepreneurs interviewed, the development roadmap should be directed towards advanced technologies in robotics (T1, 62%), the development of a human-centered organization (T5, 52%), and the transition to Smart Manufacturing (T6, 37%). The holistic digitalization described by the T2 transformation is receding into the background due to infrastructure development at the Operational Technology level. The decline in customer-driven engineering (T4) is tied to companies' possession of technologies classified to the areas of transformation. Table 10 presents the primary development directions of the companies within the surveyed industries. Table 11 contains guidance for entrepreneurs on applying the proposed maturity assessment method [26; 27; 28; 29] to address concerns outlined in the Industry 4.0/5.0 definition. \begin{table}
\begin{tabular}{c c c} \hline
**Area** & **Sub-Area** & **Application in the Proposed Method** \\ \hline \multirow{6}{*}{Synergistic integration of trends in engineering and technology (A1)} & Artificial intelligence & Integrating artificial intelligence in robotic systems aims to optimize process flows, reduce energy, and input material consumption, eliminate production downtime, and efficiently allocate resources, controlling autonomous robots and integrating them into automated systems. \\  & Real-time connectivity and data exchange & Increasing machine reliability and lifespan by monitoring operating parameters, providing digital support for operators, and implementing standards for future machine upgrades; supporting robot motion and monitoring parameters and performance. \\  & Flexible automation & Increased speed of response to market demands with fewer specialized units, elimination of the need for continuous machinery and equipment replacement, and increased quality of work through digital support. \\ \hline \multirow{6}{*}{Market development (A2)} & The circular economy (A2.1) & Conscious implementation of robotization to minimize errors, optimize movements and paths (criteria for minimizing energy consumption), and protect workers’ health and lives. \\  & Personalization and customization (A2.2) & Increasing response dynamics to market needs, developing flexible production close to customers to reduce transport costs and carbon footprint. \\  & The sharing economy (A2.3) & Using the maturity level evaluation method while retrofitting equipment and adopting Robot-as-a-Service reduces the threshold for entry into new technologies and allows testing solutions without the need to purchase. \\ \hline \end{tabular}
\end{table} 
Table 11: Guidance for entrepreneurs in the case of guidelines outlined in the Industry 4.0/5.0 definition [26; 27; 28; 29; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69].