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

Tania Rojas; Josefa Mula; Raquel Sanchis

doi:10.1007/978-3-031-27915-7_88

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

Tania Rojas, Josefa Mula, Raquel Sanchis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	501-506
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-031-27915-7_88
State	Published - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	160
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Bibliographical note

Funding Information:
Acknowledgment. The research leading to these results received funding from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valen-ciana entitled “Industrial Production and Logistics Optimization in Industry 4.0” (i4OPT) “(Ref. PROMETEO/2021/065)”, and from the European Union H2020 programs with grant agreements No. 825631 “Zero-Defect Manufacturing Platform (ZDMP)” and No. 958205 “Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)”.

Funding Information:
The research leading to these results received funding from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana entitled “Industrial Production and Logistics Optimization in Industry 4.0” (i4OPT) “(Ref. PROMETEO/2021/065)”, and from the European Union H2020 programs with grant agreements No. 825631 “Zero-Defect Manufacturing Platform (ZDMP)” and No. 958205 “Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)”.

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

Keywords

Lean manufacturing
Modelling
Uncertainty

Access to Document

10.1007/978-3-031-27915-7_88

Cite this

Rojas, T., Mula, J., & Sanchis, R. (2023). A Conceptual Framework for Lean Manufacturing Under Uncertainty Conditions in the Graphic Industry. In Lecture Notes on Data Engineering and Communications Technologies (pp. 501-506). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 160). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-27915-7_88

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Rojas, T, Mula, J & Sanchis, R 2023, A Conceptual Framework for Lean Manufacturing Under Uncertainty Conditions in the Graphic Industry. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 160, Springer Science and Business Media Deutschland GmbH, pp. 501-506. https://doi.org/10.1007/978-3-031-27915-7_88

A Conceptual Framework for Lean Manufacturing Under Uncertainty Conditions in the Graphic Industry. / Rojas, Tania; Mula, Josefa; Sanchis, Raquel.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. p. 501-506 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 160).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Rojas T, Mula J, Sanchis R. A Conceptual Framework for Lean Manufacturing Under Uncertainty Conditions in the Graphic Industry. In Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH. 2023. p. 501-506. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-27915-7_88

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

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