A large portion of design activity involves reuse of previousÂ knowledge in order to solve new problems. Therefore,Â facilitating eco-conscious exploration of archived designs isÂ needed for advancing sustainable product design. It is thusÂ necessary to create integrated exploration tools that shareÂ common data representations for design and sustainability relatedÂ product metadata. This can allow designers to observe co-variations in design data and develop engineering
intuition with regards to environmental sustainability performance. Â In this work, we present a framework for relatingÂ sustainability and product metadata using taxonomy-basedÂ representations of lifecycle data. This facilitates simultaneousÂ visualization of environmental indicators along withÂ part similarities. To demonstrate this framework, we implementÂ shapeSIFT, an interactive multi-dimensional visualizationÂ tool for eco-conscious design exploration. ShapeSIFT uses a visual analytics-based approach to representÂ part metadata and environmental indicators. This facilitatesÂ query-based dynamic exploration of part repositories.
Accepted for publication in Journal of Computing and Information Science in Engineering.