Artificial Intelligence and Image Processing for Semi-finished Goods Inventory Management in Textile Industry

Abstract

This study investigates the application of artificial intelligence (AI) and image processing technologies within the textile industry, specifically focusing on optimizing production processes. The primary aim was to assess the impact of AI and image processing systems on inventory management of semi-finished products, production efficiency, and labor optimization. Findings indicate substantial improvements, including a decrease in stock discrepancies, higher on-time tracking rates, significant time savings in production, and reduced labor costs. Further analysis highlights the financial advantages of technological integration, particularly in lowering production expenses. This research contributes to the literature by demonstrating the practical benefits of these technologies in production management, offering insights that could be applicable across other manufacturing sectors. Future research should explore the wider adoption of AI and image processing technologies across various industries and investigate their potential environmental impacts within production processes. Keywords Digital Transformation, Production Management, Artificial Intelligence, Image Processing, Textile Industry