These cases are the cases in paper An integrated flexible job shop scheduling and assembly sequence planning approach under limited resources for mixed-production considering transportation task using
this is the data in the research paper entitled "Q-learning based multi-phase grey wolf optimization algorithm for distributed no-wait job shop problem to minimize makespan".
Random instance sets used in the paper "An algorithm selection approach for the flexible job shop scheduling problem: choosing constraint programming solvers through machine learning" by Müller, D., M