摘要：Promoting and applying circular strategies in the product planning stage by industrial designers have significant environmental impacts. Product design has an enormous influence on sustainable ecology. Huge amounts of data analysis in designing circular products as well as reducing human biases in testing and prototyping are the main reasons for urging digital technologies in industries. Digitalization assets in ecodesign in collaboration with humans and as a complement for human skills. This study found the circular design tools and strategies which can help organizations in their product designs and the way artificial intelligence enhances product circularity. Real-time data transformation and analysis ability can help in massive data analysis which is less time consuming and less energy consumption is needed. In addition, rapid prototyping and fast testing will reduce the waste in design process. Furthermore, AI transfers precise data and information on materials and products’ availability, condition, and accessibility which makes easy monitoring and enables remote maintenance as well as reuse, remanufacturing and repair opportunities.
其他摘要：Promoting and applying circular strategies in the product planning stage by industrial designers have significant environmental impacts. Product design has an enormous influence on sustainable ecology. Huge amounts of data analysis in designing circular products as well as reducing human biases in testing and prototyping are the main reasons for urging digital technologies in industries. Digitalization assets in ecodesign in collaboration with humans and as a complement for human skills. This study found the circular design tools and strategies which can help organizations in their product designs and the way artificial intelligence enhances product circularity. Real-time data transformation and analysis ability can help in massive data analysis which is less time consuming and less energy consumption is needed. In addition, rapid prototyping and fast testing will reduce the waste in design process. Furthermore, AI transfers precise data and information on materials and products’ availability, condition, and accessibility which makes easy monitoring and enables remote maintenance as well as reuse, remanufacturing and repair opportunities.
