Supervisor localization can help break down a big supervisor into smaller ones, but it can be slow. This study looks at how to make this process faster for systems that change over time. They came up with a new method called transformational supervisor localization, which reuses old results to speed up making new local supervisors. They tested this method and found it to be more efficient.