Results
PSS-PASS Results
DPSSP Methodological Framework
(ATB, UB)
DPSSP Ontology to AAS Connector
(ATB)
DPSSP Ontology
(ATB, UB)
Digital Twin-based simulation framework
(ENG)
Context Sensitivity Service
(ATB)
Semantic Layer Knowledge Graph (with DPSSP ontology)
(ATB)
DPSSP Compliance, Standards and Capacity-Building Framework
(CEF)
AI solution for automatic LCA/LCC computation
(TEC)
DPSSP Digital Environment
(UNP)
Expected Benefits for Stakeholders
Manufacturers gain a structured way to collect, manage and use product and service data across the full lifecycle, supporting better product design, maintenance, compliance and circularity decisions.
Sustainability and compliance teams benefit from improved access to lifecycle, environmental and service-related data needed for reporting, Digital Product Passport readiness, circularity assessment and environmental impact evaluation.
Service providers and maintenance actors benefit from improved access to product configuration, service history, maintenance logs, spare-part information and operational data, enabling more efficient repair, refurbishment and upgrade services.
Technology providers and system integrators can build new services around DPSSP data, including AI-based LCA/LCC assessment, digital twin simulations, semantic data integration and decision-support tools.
Supply-chain partners can exchange trusted and interoperable data more easily, reducing fragmentation between different systems, actors and lifecycle stages.
Policy makers, standardisation bodies and market surveillance actors gain insights into how Digital Product Passports can be extended to service-based business models and circular value chains.
Recyclers, refurbishers and end-of-life operators gain better information on materials, components, product condition and previous service actions, helping them identify higher-value reuse, repair, remanufacturing or recycling options.
Consumers and end users can benefit from more transparent product information, better service options, longer product lifetime and more sustainable product choices.
Business Value
Improved compliance readiness by helping companies prepare for emerging Digital Product Passport requirements and related sustainability, traceability and circular economy regulations.
New service-based business opportunities by extending traditional product data with service, maintenance, usage, upgrade and lifecycle information.
Better lifecycle decision-making through access to more complete product and service data, supported by AI-based LCA/LCC tools and digital twin simulations.
Reduced operational costs by supporting predictive maintenance, improved repair planning, better spare-part management and more efficient service interventions.
Improved product and service design by feeding lifecycle and service data back into design, engineering, sustainability and business model decisions.
Support for circular business models, including product-as-a-service, repair, refurbishment, reuse, remanufacturing, take-back and recycling services.
Faster and more reliable sustainability assessment by using DPSSP data to support environmental and economic impact calculations.
Improved data interoperability across heterogeneous systems, partners and lifecycle stages through ontologies, semantic layers, AAS-based structures and data-space-oriented approaches.
Higher customer and stakeholder trust through more transparent, traceable and structured information on products, services, lifecycle events and environmental performance.