Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing

Tania Catalina Rojas Parraga; Raquel Sanchis; Josefa Mula

doi:10.1007/978-3-031-92251-0_20

Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing

Título traducido de la contribución: Marco conceptual para lidiar con la incertidumbre en la fabricación ajustada de impresión

Tania Catalina Rojas Parraga
, Raquel Sanchis
, Josefa Mula

Grupo de Investigación Interdisciplinar en Matemática Aplicada (GIIMA)

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Resumen

En este documento se presenta un marco conceptual que sirve de referencia para proponer un enfoque cuantitativo basado en técnicas de fabricación ajustada (LM) con incertidumbre. Para desarrollar este marco, se tienen en cuenta los siguientes factores de entrada: cadena de suministro, alta dirección, recursos humanos, procesos y máquinas. Para la planificación de la producción con incertidumbre, identifica su interacción con modelos cuantitativos y herramientas de LM. Establece los resultados de rendimiento obtenidos con las herramientas de LM, la gestión y los modelos cuantitativos adecuados en todos los factores de entrada identificados. El objetivo de aplicar este marco conceptual es mejorar el rendimiento de las organizaciones desde la perspectiva de la LM con incertidumbre. Este tema, poco investigado, se beneficiaría de futuros esfuerzos de investigación, especialmente en la industria gráfica. El marco conceptual se valida aplicándolo como herramienta de diagnóstico en tres empresas del sector de las artes gráficas.

Título traducido de la contribución	Marco conceptual para lidiar con la incertidumbre en la fabricación ajustada de impresión
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1007/978-3-031-92251-0_20
Estado	Publicada - 25 oct. 2025
Evento	16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización CIO 2022 - ES Duración: 7 jul. 2022 → 8 jul. 2022 https://ingenium.uclm.es/index.php/cio-2022/

Conferencia

Conferencia	16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización CIO 2022
Período	7/07/22 → 8/07/22
Dirección de internet	https://ingenium.uclm.es/index.php/cio-2022/

Palabras clave

Uncertainty
Graphics
Lean manufacturing
Modelling

Areas de Conocimiento del CACES

527A Producción industrial

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title = "Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing",

abstract = "A conceptual framework that serves as a reference for proposing a quantitative approach based on lean manufacturing (LM) techniques with uncertainty is herein presented. To develop this framework, the following input factors are considered: supply chain; top management; human resources; processes; machines. For production planning with uncertainty, it identifies their interaction with quantitative models and LM tools. It establishes the performance outputs acquired with proper LM tools, management, and quantitative models in all the identified input factors. The aim to apply this conceptual framework is to improve the performance of organizations from the LM perspective with uncertainty. This underresearched topic would benefit from future research efforts, particularly in the graphics industry. The conceptual framework is validated by applying it as a diagnostic tool in three companies from the graphic arts sector.",

keywords = "Uncertainty, Graphics, Lean manufacturing, Modelling, Uncertainty, Graphics, Lean manufacturing, Modelling",

author = "\{Rojas Parraga\}, \{Tania Catalina\} and Raquel Sanchis and Josefa Mula",

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Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing. / Rojas Parraga, Tania Catalina; Sanchis, Raquel; Mula, Josefa.
2025. Papel presentado en 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización CIO 2022.

Producción científica: Contribución a una conferencia › Documento

TY - CONF

T1 - Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing

AU - Rojas Parraga, Tania Catalina

AU - Sanchis, Raquel

AU - Mula, Josefa

PY - 2025/10/25

Y1 - 2025/10/25

N2 - A conceptual framework that serves as a reference for proposing a quantitative approach based on lean manufacturing (LM) techniques with uncertainty is herein presented. To develop this framework, the following input factors are considered: supply chain; top management; human resources; processes; machines. For production planning with uncertainty, it identifies their interaction with quantitative models and LM tools. It establishes the performance outputs acquired with proper LM tools, management, and quantitative models in all the identified input factors. The aim to apply this conceptual framework is to improve the performance of organizations from the LM perspective with uncertainty. This underresearched topic would benefit from future research efforts, particularly in the graphics industry. The conceptual framework is validated by applying it as a diagnostic tool in three companies from the graphic arts sector.

AB - A conceptual framework that serves as a reference for proposing a quantitative approach based on lean manufacturing (LM) techniques with uncertainty is herein presented. To develop this framework, the following input factors are considered: supply chain; top management; human resources; processes; machines. For production planning with uncertainty, it identifies their interaction with quantitative models and LM tools. It establishes the performance outputs acquired with proper LM tools, management, and quantitative models in all the identified input factors. The aim to apply this conceptual framework is to improve the performance of organizations from the LM perspective with uncertainty. This underresearched topic would benefit from future research efforts, particularly in the graphics industry. The conceptual framework is validated by applying it as a diagnostic tool in three companies from the graphic arts sector.

KW - Uncertainty

KW - Graphics

KW - Lean manufacturing

KW - Modelling

KW - Uncertainty

KW - Graphics

KW - Lean manufacturing

KW - Modelling

UR - https://link.springer.com/book/10.1007/978-3-031-92251-0

U2 - 10.1007/978-3-031-92251-0_20

DO - 10.1007/978-3-031-92251-0_20

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Y2 - 7 July 2022 through 8 July 2022

ER -

Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing

Resumen

Conferencia

Palabras clave

Areas de Conocimiento del CACES

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