Integrating Human-Centric AI in Fashion Industry Optimization: A Step Towards Industry 5.0

This work explores the intersection of advanced manufacturing and the emerging human-centric Industry 5.0 paradigm, specifically within the high-fashion clothing industry. We address the critical issue of optimising cutting operations, a traditionally time-intensive and wasteful process, by minimising setup times and reducing fabric waste. The cutting process primarily consists of laying multiple layers of fabric on a cutting machine and securing templates (stencils) of the parts on top of these layers before the actual cutting can start. We introduce a novel solution that blends the technological advances of Industry 4.0, particularly the integration of mathematical models and the enterprise information system, with the worker-focused ethos of Industry 5.0. The core innovation lies in our use of Large Language Models to translate operators’ feedback, expressed in natural language, into quantifiable objectives for linear programming optimisation algorithms. The experimental analysis, conducted on a real-world industrial dataset, validates the effectiveness of the proposed solution, underscoring its potential to enhance industrial operations by harmoniously blending advanced technology with human well-being.