Leveraging computational systems for lifecycle management and enhancement of circular economy in fashion: A study on tracking, recycling, and reuse technologies

Abstract

This paper investigates the role of computational systems in managing the lifecycle of fashion products to enhance circular economy practices. By integrating technologies such as IoT, blockchain, and AI, we explore how these systems can track, recycle, and reuse clothing items efficiently. The study highlights the advancements in smart recycling bins, the transparency provided by blockchain, and the optimization of recycling operations through AI. Additionally, the research delves into the impact of online second-hand marketplaces, clothing rental services, and upcycling initiatives, facilitated by computational systems, in promoting sustainable fashion practices. The findings underscore the potential of these technologies to significantly reduce environmental impact, extend garment lifecycles, and foster sustainable consumer behaviors. By leveraging these innovations, the fashion industry can transition towards a more sustainable and circular economy.