The emissions performance of packaging could be significantly improved by using as much recycled content as possible. But incorporating more recycled content in packaging is challenging because the processing properties of recyclate vary, recycled materials do not always meet safety requirements (particularly for food safety) and business models that include recycling can face viability issues. To address these challenges, the KIOptiPackproject is developing a suite of AI-optimization tools to assess the plastic packaging supply chain, including recycled materials, from a holistic perspective.
The project will develop a set of ready-to-use, AI supported tools in a combined AI tools and data space. These tools and the data space will enable companies in the plastic packaging value chain to optimize the design and quality conformity of plastic packaging which contains a high proportion of recycled materials. The project and its tools will cover the entire value chain, from secondary raw materials to material and packaging development, process design, packaging production and packaging production, as well as final consumers.
Carbon Minds is responsible for taking an inventory of existing data sets regarding the processing and manufacturing of packaging. This inventory will enable an objective evaluation of environmental impacts using LCA/LCSA. Additionally, we are responsible for analyzing and processing background data on the upstream supply chain for packaging processing and production. More specifically, we are collecting and processing relevant literature, as well as background data such as materials, production and processes, energy mixes, additives and further relevant information.