Título: Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging

Autor: Guzmán Ortiz, Brunnel Eduardo; Andrés Navarro, Beatriz; Poler Escoto, Raúl

Resumen: The Python code generates synthetic input data. The dataset contains the input data to develop the experiments for the mathematical model (mixed integer linear programming model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging)

URI: http://hdl.handle.net/10251/172395

Fecha: 2021-09-14

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