The contribution of artificial intelligence for optimization pattern cutting plan to reducing textile industry waste in fashion design solutions

Abstract

By increasing knowledge about the problem and calling for sustainable and circular solutions, governments, institutions, and organizations encourage companies, fashion brands, and industries to address the main sources of pollution in the textile sector by reducing waste. Scaling sustainable solutions is quite challenging because these solutions require a lot of study to develop eco-friendly production methods. This study explores how artificial intelligence (AI) using digital solutions for pattern cutting plan reduced waste from cutting the manufacturing of garments. The digital solutions for development pattern cutting plan, such as optimization plan software, is a program that enables the creation of pattern plans for cutting and production of clothing pieces. On the other hand, the software of making plans, supports the use of artificial intelligence to optimize an expansion strategy by conducting nesting simulations to achieve the most efficient and least wasteful plan. These studies, which used these digital solutions, were conducted in the CAD laboratories of the textile department at the University of Beira Interior and aim to develop a study for different fashion design pieces, different sizes, and combinations of sizes in the marker plan. With the study conducted on the various marker-making, it is concluded that the use of AI in digital tools given more efficiency and productivity, and there is a limit of number of combinations of sizes to reduce waste. It was cut and a prototype was produced to demonstrate the potential of the threads made with visual textile yarn orientation material. For this, a twill fabric produced within the scope of be@t was used, with a yarn in the weft 50% recycled produced in the DCTT laboratories at University of Beira Interior. It was concluded that these digital tools allow companies in the textile industry to save time, resources and improve their ability to make quick decisions and study different options with less time for reduce waste, compared with solutions without artificial intelligence.

Keywords: Apparel Industry, Digitalization, Pattern-Cutting, Fabric Waste Reduction, Sustainability.

DOI: 10.54941/ahfe1007285