Modelos cuantitativos para la planificación de la producción de impresión bajo enfoque de fabricación ajustada bajo incertidumbre

Número

Sección

Artículos
  • Tania Rojas Industrial Engineering Department, Universidad Politécnica Salesiana, Chambers 227, 090114, Guayaquil, Ecuador.
  • Josefa Mula Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), c/ Alarcón, 1, 03801, Alcoy, Alicante, Spain.
  • Raquel Sanchis Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), c/ Alarcón, 1, 03801, Alcoy, Alicante, Spain.

DOI:

https://doi.org/10.37610/85.693

Publicado

16-04-2025

Resumen

La incertidumbre de la demanda es inherente a los procesos de planificación de la producción en un entorno de fabricación, debido, entre otras cosas, a la aceptación intermitente de pedidos por parte de los clientes. En este sentido, es necesario proporcionar enfoques y herramientas capaces de hacer frente a estos retos relacionados con la incertidumbre. El objetivo de este artículo es presentar un análisis comparativo de varios enfoques de modelización cuantitativa para la planificación de la producción en un enfoque de fabricación ajustada (LM) bajo incertidumbre. Cabe señalar que se desea centrar los enfoques en la industria de la impresión. La metodología de búsqueda consistió en seleccionar artículos centrados en LM e incertidumbre y en la industria gráfica u otra de características similares desde una perspectiva cuantitativa. Los principales resultados están relacionados con la identificación de los enfoques de modelización y las herramientas Lean aplicadas. Tras el análisis de los artículos seleccionados, se ha identificado el uso de seis enfoques de modelización, destacando la programación estocástica (SP) y la programación lineal entera mixta (MILP); asimismo, los modelos identificados tienen como objetivo minimizar los costes, optimizar la producción y satisfacer la demanda de los clientes en un entorno incierto. El uso de herramientas de LM mejora la estabilidad y la eficiencia de los recursos, por lo que debería incluirse un mayor número de ellas. Los modelos revisados ofrecen varios enfoques para hacer frente a la incertidumbre en los sistemas de producción, que pueden ser muy útiles para la industria gráfica y otros sectores.

Palabras clave:

Fabricación ajustada, planificación de la producción, modelado cuantitativo, incertidumbre, impresión

Agencias de apoyo

  • The research leading to these results received funding from Project "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065) granted by the Valencian Regional Government; and from Grant PDC2022-133957-I00 (CADS4.0-II) funded by MCIN/AEI /10.13039/501100011033 and by European Union Next Generation EU/PRTR.

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