Skip to main navigation Skip to search Skip to main content

Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing

Research output: Contribution to conferencePaper

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.
Translated title of the contributionMarco conceptual para lidiar con la incertidumbre en la fabricación ajustada de impresión
Original languageEnglish (US)
DOIs
StatePublished - 25 Oct 2025
Event16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización CIO 2022 - ES
Duration: 7 Jul 20228 Jul 2022
https://ingenium.uclm.es/index.php/cio-2022/

Conference

Conference16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización CIO 2022
Period7/07/228/07/22
Internet address

Keywords

  • Uncertainty
  • Graphics
  • Lean manufacturing
  • Modelling

CACES Knowledge Areas

  • 527A Industrial production

Fingerprint

Dive into the research topics of 'Conceptual Framework to Deal with Uncertainty in Printing Lean Manufacturing'. Together they form a unique fingerprint.

Cite this