Digitalization of the Traditional Textile Industry through Cyber-Physical Systems and Machine Learning Based Quality Control
Vina Sari Yosephine, Topo Chandra, Ari Setiawan, Marla Setiawati

Institut Teknologi Harapan Bangsa

Abstract

The traditional textile industry, characterized by labor-intensive practices, has been slower to embrace digital transformation than advanced manufacturing systems. This research proposes a comprehensive approach for digitally transforming the traditional textile sector by developing customized cyber-physical systems, information systems, and artificial intelligence techniques in quality control processes. The goal is to enhance production processes effectivity, improve product quality, and foster competitiveness. A case study is presented to validate the proposed approach, demonstrating its practical application and benefits in real-world textile manufacturing. This research bridges the gap between traditional textile practices and digitalization, offering tailored solutions for manufacturers to excel in a fast-changing global market. The findings offer valuable insights into the challenges and opportunities of digital transformation in traditional textile production.

Keywords: Textile, Traditional, Digitalization, Information System, Machine Learning

Topic: Business and Economic