Achieving a Sustainable Economy with Digital Product Passports
Sustainability data available in remote databases or published articles and reports is difficult to access , unlinked and for the most part not comparable . For this reason , the Sustainability AI 5 has been developed . The goal of this system is to aggregate , link and extract sustainability data and to provide this comparable and transparent sustainability information for different applications and domains .
A key component of the Sustainability AI is the graph-based Sustainability Knowledge Base for transparent and comparable sustainability information from a wide range of industries . The database is open and suitable for retrieving sustainability information such as product carbon footprint , carbon footprint , water consumption , conflict minerals , certifications , standards and other information . Another key component is the AI algorithms required for ontology-based reasoning with OWL ( Web Ontology Language ).
To increase the comparability and transparency of sustainability assessments , a semantic model for transparent sustainability assessment of supply chains was developed [ 21 ]. A semantic model incorporates the meaning of data in the context of its use . The Sustainability Knowledge Base and the Supply Chain Sustainability Service ( SCSS ) are based on this semantic model [ 21 ]. Figure 4-4 shows the overall process starting from information gathering , through to data preparation and then to the provision of the sustainability data . The SCSS provides sustainability information such as the carbon footprints , information on conflict minerals , various climate scores , certifications and standards that are required for transparent sustainability assessments along supply chains .
Figure 4-4 : Sustainability knowledge base and supply chain sustainability service . The Sustainability AI has the following relationships with DPP :
• Digital product passports can serve as a source of information along a supply chain .