Propuesta de un modelo matemático para la optimización de la producción. Una aplicación en la industria ladrillera de San José Cúcuta
The ceramics sector in Norte Santander seeks to meet the growing demand for clay-based construction products. To this end, linear programming is being used to improve operational efficiency in the manufacturing of its products by finding optimal solutions to planning problems. To achieve optimal pro...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Fundación de Estudios Superiores Comfanorte
2023-01-01
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| Series: | Mundo Fesc |
| Subjects: | |
| Online Access: | https://www.fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/1419 |
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| Summary: | The ceramics sector in Norte Santander seeks to meet the growing demand for clay-based construction products. To this end, linear programming is being used to improve operational efficiency in the manufacturing of its products by finding optimal solutions to planning problems. To achieve optimal production, a linear programming mathematical model was used as a key optimization tool. The process begins with a diagnosis involving direct observation and data collection through office tools. Subsequently, a mathematical model based on real data is developed to evaluate process performance, using productivity indicators. Process parameters are adjusted to achieve optimal satisfaction. Finally, a sensitivity analysis is performed in various scenarios to determine the best optimization approach. The application of these results is modeled using a FlexSim academic-licensed simulator, which provides the opportunity to adopt a comprehensive approach focused on improvement and efficiency in terms of the ability to meet the needs of the ceramics sector. An ideal model was found to meet the demand of the company under study, and then an optimal model was formulated, taking full advantage of a capacity constraint and increasing the resources required to meet the demand proposed by the current market. It is believed that the optimal model will serve as a benchmark for the company's scope of demand, enabling it to determine what demand it can meet by exploiting its maximum capacity without incurring additional costs such as adding new machinery to its production line or hiring additional personnel to meet the growing demand. |
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| ISSN: | 2216-0353 2216-0388 |