Computational Dataset for Multi-Objective Make-to-Order Capacitated Lot-Sizing with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders

This dataset contains the computational materials associated with the study "Multi-Objective Make-to-Order Capacitated Lot-Sizing with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders." The repository includes 691 feasible problem instances used in the computational experiments, the corresponding computational outputs and solver reports, the implemented optimization model and multi-objective solution procedure, and a consolidated Excel file containing the information used for the analysis reported in the article. The model is implemented in Julia using JuMP and solved with IBM ILOG CPLEX. The implementation is provided as an executable Jupyter Notebook, together with PDF and HTML versions for inspection. The repository also includes a Batch_File listing the filenames of all feasible instances. These materials are provided to support the reproducibility and verification of the computational experiments and the analysis of the cost–tardiness trade-offs reported in the associated article.