<p>The automotive supplier industry is increasingly facing labor shortages, volatile markets and rising cost pressure. Automating material handling with mobile robots has emerged as a key solution, but their performance depends strongly on the specific shop floor environment in which they operate. While we contributed a methodology for quantifying shop floor environment dynamics to the literature, its applicability across different production contexts has not yet been systematically validated. This paper applies the methodology to three comparative case studies within an internationally operating automotive supplier, including electronics, tire, and brake production, which reflect essential subcategories of the automotive supplier industry and thus ensure a high degree of practical relevance. Each case was analyzed using the proposed methodology that measures both process and traffic dynamics to identify special requirements for the given production environment. The results highlight substantial variation not only between plants but also across functional areas within one single plant. Furthermore, the analysis identifies additional requirements, such as load carrier diversity, cleanliness levels and workforce distribution, that directly influence mobile robot deployment. The findings confirm the robustness and the generalizability of the methodology while demonstrating its practical relevance for guiding automation decisions. By identifying dynamic zones and plant-specific requirements, this study provides actionable insights for decision-makers and builds the groundwork for matching mobile robot autonomy levels with shop floor environment dynamics in future research.</p>