Dataset supports optimal production policy prediction, revealing cost dynamics in manufacturing systems under diverse demands.
This dataset contains the training and test data used in the study. It includes two experiments: Experiment 1 (4 input variables: dm1, da1, dm2, da2) and Experiment 2 (6 input variables: dm1, da1, dm2, da2, c⁻, q21). Output variables include the optimal critical-threshold trajectories z1*(t) and z2*(t) at 10 discrete time instants and the associated optimal cost C, obtained from numerical resolution of Hamilton–Jacobi–Bellman equations.
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Enama et al. (2025) studied this question.
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