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

Florcita Matias, Susana Miranda, Orkun Yildiz (), Pedro Chávez and José C. Alvarez
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Florcita Matias: Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas, Santiago de Surco 15023, Peru
Susana Miranda: Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas, Santiago de Surco 15023, Peru
Orkun Yildiz: The European Institute for Advanced Behavioural Management, Saarland University, 66123 Saarbrücken, Germany
Pedro Chávez: Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas, Santiago de Surco 15023, Peru
José C. Alvarez: Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas, Santiago de Surco 15023, Peru

Sustainability, 2025, vol. 17, issue 19, 1-29

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.

Keywords: data-driven lean management; re-business process modelling; digitalization in manufacturing; sustainable production systems; Industry 4.0 integration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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