A Conceptual Framework for Lean Manufacturing Under Uncertainty Conditions in the Graphic Industry

Tania Rojas, Josefa Mula, Raquel Sanchis

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

This article presents a conceptual framework that serves as a reference to propose a quantitative approach based on lean manufacturing (LM) techniques in an uncertainty context. To develop it, five input factors are defined with an influence in such a context: top management, supply chain, machines, processes, human resources. In addition, their interaction with LM tools and quantitative models for production planning under uncertainty is identified. It also determines the performance outputs obtained with the proper management of LM tools and quantitative models in each identified input factor. The objective of the application of such a conceptual framework is oriented towards improving an organisation’s performance from a LM perspective under uncertainty because it is an under researched topic that requires future research efforts, particularly in the graphic industry.

Idioma originalInglés
Título de la publicación alojadaLecture Notes on Data Engineering and Communications Technologies
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas501-506
Número de páginas6
DOI
EstadoPublicada - 2023

Serie de la publicación

NombreLecture Notes on Data Engineering and Communications Technologies
Volumen160
ISSN (versión impresa)2367-4512
ISSN (versión digital)2367-4520

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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