Exploring the Link Between Artificial Intelligence and Circular Economy in the Fashion Industry: an example of Lennol Oy
Rehman, Mian Mutti Ur (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024072023995
https://urn.fi/URN:NBN:fi:amk-2024072023995
Tiivistelmä
Converting the prevailing linear economy established during the Industrial Revolution to a circular one is a challenging endeavor. This transition involves overhauling current production and consumption practices, which will heavily influence the economy, environment, and society. In the fashion industry being the 2nd polluted industry in the world, comprehending these influences is vital for devising advanced solutions, particularly through emerging technologies like AI. This necessitates a deep understanding of the circular economy concept, its procedures, and the anticipated impacts on industries and value chains.
The textile industry, a cornerstone of human civilization, has continuously evolved alongside technological advancements and societal changes, shaping our lives and industries. Despite its significant economic contribution, the fashion industry is one of the largest polluters globally, contributing to approximately 10% of global CO₂ emissions. To address these challenges, emerging concepts like the Circular Economy (CE) offer potential solutions to change the clothing production cycle and mitigate environmental impacts. The research has explored how artificial intelligence can impact the circular economy principles in the value chain of fashion industry. The research conducted the interviews within the fashion industry from Finland and Pakistan to understand the current applications of artificial intelligence and circular economy.
The research has found a strong positive link between artificial intelligence algorithms techniques like machine learning, deep learning etc with the circular economy principles like share, prolong, refurbish, reuse and recycle in the complete value chain of fashion industry starting from design, selecting raw materials, production, marketing and supply chain management. There are also challenges while implementing the technology especially to provide the enough data to AI algorithms and digital product passport can be an efficient tool to collect the data if implemented efficiently across the supply chain of the fashion industry.
The textile industry, a cornerstone of human civilization, has continuously evolved alongside technological advancements and societal changes, shaping our lives and industries. Despite its significant economic contribution, the fashion industry is one of the largest polluters globally, contributing to approximately 10% of global CO₂ emissions. To address these challenges, emerging concepts like the Circular Economy (CE) offer potential solutions to change the clothing production cycle and mitigate environmental impacts. The research has explored how artificial intelligence can impact the circular economy principles in the value chain of fashion industry. The research conducted the interviews within the fashion industry from Finland and Pakistan to understand the current applications of artificial intelligence and circular economy.
The research has found a strong positive link between artificial intelligence algorithms techniques like machine learning, deep learning etc with the circular economy principles like share, prolong, refurbish, reuse and recycle in the complete value chain of fashion industry starting from design, selecting raw materials, production, marketing and supply chain management. There are also challenges while implementing the technology especially to provide the enough data to AI algorithms and digital product passport can be an efficient tool to collect the data if implemented efficiently across the supply chain of the fashion industry.