Ingeniería en Sistemas, Electrónica e Industrial
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Item Programación de la producción en la empresa Textiles Pasteur mediante optimización matemática(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial, 2025-02) Segura Yánez Erick Alexander; Naranjo Chiriboga Israel ErnestoProduction scheduling is a key aspect for manufacturing companies to achieve their strategic objectives. However, many companies still rely on empirical methods that neither guarantee efficiency nor optimize processes. This project aims to use mathematical optimization to develop a model tailored to the specific production scheduling needs of Textiles Pasteur, offering a data-driven alternative to the company’s current method. Through a literature review, key model elements were identified, while field research provided insights into the company’s specific needs. The developed model follows a mixed-integer linear programming (MILP) approach aimed at minimizing the makespan. To solve the model, a genetic algorithm was implemented due to problems with nature and complexity. Several scenarios were tested to determine the order configuration that offered the best balance between makespan and model runtime, concluding that grouping by size and color was the most efficient strategy. The company provided a representative dataset of a typical production week, which was used to validate the model. Results demonstrated a makespan of 2641.77 minutes, equivalent to 5.5 working days of 8 hours each, compared to 5 simulated days by the dataset given. The model also improves the level of automation, detail and flexibility against changes. All these improvements highlight that the proposed model is a viable alternative capable of competing with the company’s current method