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A Data-Driven Approach to Lean and Digital Process Re-Modeling for Sustainable Textile Production: A Case Study

  • Universidad Peruana de Ciencias Aplicadas
  • Saarland University
  • Universidad Nacional Mayor de San Marcos
  • Izmir Democracy University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study presents a data-driven framework that integrates lean management and digital business process modelling to enhance sustainability in textile manufacturing. Conducted in a company producing industrial safety textiles from Peru, this research applies lean tools within a digital BPM structure supported by real-time data tracking. The integrated approach led to increased production efficiency (from 79% to 86%), reduced setup times, and improved operational agility. The digital infrastructure empowered operators and supported informed decision-making. This work contributes to Industrial Engineering, Business Administration, and MIS by offering a holistic model that bridges lean principles with Industry 4.0 technologies. The findings, though context-specific, provide actionable insights for manufacturers aiming for smart and sustainable operations. Future research should validate the proposed framework across diverse industrial contexts and assess its longitudinal impact on lean performance outcomes.

Original languageEnglish
Article number8888
JournalSustainability (Switzerland)
Volume17
Issue number19
DOIs
StatePublished - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Industry 4.0 integration
  • data-driven lean management
  • digitalization in manufacturing
  • re-business process modelling
  • sustainable production systems

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