Manufacturing companies face a dynamic environment that demands frequent adaptations of production processes and infrastructure. These so-called Manufacturing Changes (MCs) differ in scope, complexity, and cost, making standardized approaches insufficient for addressing specific company needs. Effective decision making requires tailored solutions that consider both company-individual and change-specific requirements. This paper presents a software tool that systematically supports MCs by analyzing upcoming changes and applying a correlation model to derive necessary actions. The tool integrates change characterization with decision-support functionalities to enhance the effectiveness and the efficiency of MC handling. Developed as a web-based application using HTML, CSS, JavaScript, and Python, the tool provides actionable insights to optimize decision making. Initial tests demonstrated its potential to support adaptive manufacturing environments, enabling companies to respond proactively to production changes. This solution represents a significant step forward in managing MCs by combining a scientific methodology with a practical application to enhance operational flexibility.