The Future of Fashion: Can Robots Replace Textile Workers?
The world of fashion is undergoing a quiet revolution. While the catwalks and high-end boutiques remain a glitzy spectacle, the back-end operations are being transformed by automation. The latest buzzword in the industry is 'Robo-top', a play on the term 'robot' and 'top' (as in t-shirt). It refers to the machines that could soon be stitching and gluing our garments, potentially reshaping the entire fashion landscape.
A New Approach to Garment Manufacturing
CreateMe, a robotics company based in California, is at the forefront of this revolution. Instead of traditional sewing machines, they use an innovative adhesive-based process. Cam Myers, the founder and CEO, explains, "Once the adhesive is laid down, you simply line something over it and stamp." This method is already being used to produce women's underwear, and the company plans to expand into t-shirt production in the coming months.
The potential benefits are significant. By automating the labor-intensive process of garment manufacturing, CreateMe could help bring jobs back to the West and reduce the environmental impact of the fashion industry. The use of thermoset adhesive ensures that the clothes remain intact even after ironing or washing, and the lack of seams allows for streamlined manufacturing on molds that capture the contours of the human body.
The Challenges of Automation
However, the road to fully automated garment manufacturing is not without its challenges. As Myers acknowledges, the apparel industry is 'high flex', meaning it requires a wide range of designs, colors, and form factors. Customers expect an endless array of choices, and current robots are far from capable of meeting this demand.
Palaniswamy Rajan, chairman and CEO of Softwear Automation, disagrees with the notion that sewing is becoming obsolete. He points out that visible stitching is a key component in the design of many fashionable garments, particularly jeans. Rajan's company is developing the third generation of its sewing robots, which they claim will produce t-shirts at the same cost as importing them to the US.
The Human Factor
The human element in the fashion industry is another critical consideration. Textile workers have already faced significant challenges, including factory closures during the Covid-19 pandemic and the recent war in Iran, which has disrupted polyester supplies. Automation industry representatives often suggest that workers should aim for better-paying, less repetitive jobs, but simply handing t-shirt production to robots won't do that overnight.
Gerald Feichtinger, from the Technical University of Leoben in Austria, suggests that on-demand manufacturing could be a solution. His study found that emissions associated with making a t-shirt could fall by roughly 45% when a robot produced the garment in Europe or the US. However, he acknowledges that re-shoring multiple parts of the garment supply chain remains challenging.
The Future of Textile Automation
The market for automating textile production in Europe is likely limited to specialist textiles, such as those used for bicycle bags or airbags in cars, according to Michael Fraede, co-founder of German firm Robotextile. He predicts that it will take 10 more years before we see significant actions of re-shoring, as the industry is not accustomed to thinking in those terms.
Lauren Junestrand, innovation and sustainability network manager at the UK Fashion and Textile Association, acknowledges the potential of robotics in the industry. However, she also recognizes that countries like the UK will probably never be able to compete with competitors in Asia in terms of volume. Instead, she suggests a co-existence between human workers and robots.
In conclusion, the future of fashion is likely to be a complex interplay between human creativity, technological innovation, and environmental sustainability. While robots may soon be stitching and gluing our garments, the human element will remain crucial in ensuring that the fashion industry continues to thrive and evolve.
