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 original | Inglés |
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Título de la publicación alojada | Lecture Notes on Data Engineering and Communications Technologies |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 501-506 |
Número de páginas | 6 |
DOI | |
Estado | Publicada - 2023 |
Serie de la publicación
Nombre | Lecture Notes on Data Engineering and Communications Technologies |
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Volumen | 160 |
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.