Accelerating Sustainability in Fashion, Clothing & Textiles is a thirty-four-chapter book that collates leading-edge research and industry best practices to provide a ‘one-stop shop’ exploring the complex and interconnected issues surrounding sustainability in fashion, clothing, and textiles. The practical and digestible chapters include innovative examples and perspectives from different regions of the globe, addressing topics from policies to supply chain issues and materials innovation.
Chapter 31, Fashion Ex Machina: Human–Machine Collaboration to Support Sustainability through Customized Design and Production, written by Elizabeth Bigger et al., discusses transitions toward sustainable bespoke production for Industry 5.0, agile fashion system requirements, emerging processes, and human-machine collaboration.
Elizabeth’s work with generative garment design for sustainability is discussed using Grasshopper in Rhino. Parametric fashion patterns created in Grasshopper then use the generative evolutionary solver Galapagos for multi-objective optimization of the garment design. The fashion industry is a wicked problem because of the interdependent factors of garment design and production that create significant climate problems (6-10% of global emissions). Using Galapagos for multi-objective optimization solves many interdependent sustainable design issues at once in the design phase.
The book was edited by Professor Martin Charter, Dr. Bernice Pan, and Professor Sandy Black and is available from Rutledge Publishing UK.
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