JSP Entropy Dataset

The dataset by Kemmerling et al. provides an important benchmark for job shop scheduling by explicitly addressing the diversity of jobs and operations using Shannon entropy. Unlike traditional datasets that rely on randomization or difficulty maximization, this dataset systematically varies instance diversity, making it particularly valuable for studying the impact of product mix on scheduling performance.