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Analysis of the Impact of Predictive Maintenance Based on IoT and Digital Twin on Production Efficiency in the Textile Industry in West Java

Year: 2025

Type: article

Abstract: This study examines the impact of IoT-based predictive maintenance and digital twin technology on production efficiency in the textile industry in West Java. Employing a quantitative research design, data were collected from 120 respondents using a structured questionnaire with a 5-point Likert scale. Structural Equation Modeling - Partial Least Squares (SEM-PLS) was used for data analysis. The findings reveal that IoT-based predictive maintenance and digital twin technology positively and significantly influence production efficiency. Furthermore, the combined application of these technologies demonstrates the strongest impact, highlighting their synergistic benefits. This study underscores the potential of Industry 4.0 technologies to enhance operational performance in the textile sector and provides actionable insights for industry stakeholders.

Source: West Science Social and Humanities Studies

DOI: 10.58812/wsshs.v3i03.1795

Authors: Rully Fildansyah, Sopyan Sopyan, Salwa Aulia Novitasari

Institutions: Nusa Putra University, STIE Mahaputra Riau

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4409307335

FWCI: 0.517

Cites:

Cited by: 1

Related to: 10