The increasing complexity and velocity in production requires production logistics systems to be easily changeable beyond current boundaries. Despite their importance, the effects of production logistics variables on its changeability are not sufficiently scientifically researched. This research introduces a framework for identifying and analyzing production logistics influencing variables in manufacturing companies and their interactions with each other. The resulting findings can be used to determine which parameters need to be adapted to improve a company’s changeability. The framework is divided into four parts: Creating the evaluation basis, identifying and analyzing influencing variables, identifying and analyzing interactions, and assessing the impact on changeability. The framework’s structured approach provides a transparent methodology for companies to follow, ensuring transparency and comprehensibility. It emphasizes the importance of interactions between logistic parameters. The framework’s applicability was validated through a case study in the commercial vehicle sector and expert interviews, confirming its relevance and utility in real-world scenarios. This research contributes to a better understanding of production logistics and changeability, offering a valuable framework for companies aiming to improve their changeability.