In this module, you will learn practical methods for optimizing systems and products using reliability and lifetime analysis. You will explore targeted calculations to assess critical processes more precisely. We will introduce both distribution-based and distribution-free analytical approaches, enabling you to select the optimal method for any given data set. Another key element of this day is model validation: securing theoretical assumptions through sound analyses to maximize the reliability of your results. We will also show you how to determine the optimal sample size with precise test plans—whether for verification or estimation—so that you can make robust decisions.