Optimization of the production Performance through DPP

Iniciative
Project
Lead Organization

General Information

Challenge, Value & Description

Performance, Access & Contact

1 – General Information

Partners

Logo participanteLogo participanteLogo participante

Sectors addressed

Machinery equipmentTextiles

Application categories covered

Business data partner managementCircular manufacturingDigital product passportEnvironmental social standardsProduct carbon footprintPredictive realtime informationTraceability

Lifecycle level covered


Digital Engineering

Planning & Commissioning

Smart Production & Operations

Smart Maintenance

Customer Service

Circularity

Regione Cisi, 13814 Pollone BI, Italia

Geographical Scope

  • Europe
  • Southern Europe (Italy, Spain, Portugal, Greece)

2 – Challenge, Value & Description

Challenge

Before the use case, Piacenza faced fragmented data management across its textile value chain, with limited interoperability between suppliers, manufacturers, and certification bodies. Traceability processes were slow, often relying on manual or siloed systems, leading to inefficiencies, errors, and limited visibility on raw materials, energy use, and environmental impact. Compliance with emerging EU requirements for Digital Product Passports (DPP), Product Environmental Footprint (PEF), and carbon footprint reporting was complex and resource-intensive. These gaps threatened competitiveness, hindered circularity, and reduced the ability to optimize operations, ensure transparency, and meet growing sustainability and market demands efficiently.

Value

After the use case, Piacenza benefits from seamless data sharing across its value chain through the TRICK platform integrated with SM4RTENANCE dataspace services. Digital Product Passports (DPP) and Product Environmental Footprint (PEF) data are managed automatically, ensuring full compliance with EU sustainability regulations. Real-time monitoring of supply chain operations improves traceability, transparency, and decision-making. Automated certification processes reduce costs and errors, while predictive analytics enable efficient resource use and proactive maintenance. The result is higher operational efficiency, reduced environmental impact, and enhanced product value for customers through trusted sustainability credentials and transparent circular practices

Description

In the Piacenza pilot, data exchange occurs along the textile value chain, connecting raw material suppliers, yarn and fabric producers, and certification bodies through the TRICK platform integrated with SM4RTENANCE dataspace services.

Exchange sequence:

  1. Data Capture – Suppliers provide raw material, process, and energy consumption data via ERP systems and connectors.
  2. Data Mapping & Standardization – Data is harmonized (DPP/PEF compliant) using Syxis connectors.
  3. Traceability & Certification – Blockchain-enabled TRICK platform ensures traceability and integrates auto-certification (e.g., Smartrack by Domina).
  4. Data Space Interaction – Data is published and shared through the SM4RTENANCE dataspace infrastructure, which includes: – Sovity Community Edition (CE) 10.4.2 Connectors for secure data exchange – Keycloak for identity management and Dynamic Attribute Token (DAT) issuance – Sovity Portal for centralized data space management and monitoring – ODRL-based policy enforcement for granular usage control).
  5. Consumption & Monitoring – Downstream stakeholders (Piacenza, Cerruti in the Piacenza Group and external suppliers) access standardized datasets in real time for supply chain management, predictive

Data Value Chain Description

Infraestructure Elements

  • (Open) Edge node
  • HPC
  • Data Centre

3 – Performance, Access & Contact Info

Performance

In the Piacenza pilot, the TRICK platform has been extended to integrate SM4RTENANCE dataspace services, enabling standardized Digital Product Passports (DPP) and Product Environmental Footprint (PEF) data across the textile value chain. Previously, data was fragmented, with limited interoperability between suppliers and brands, resulting in inefficiencies and high compliance costs. Now, data capture, mapping, and certification are automated and shared through Domina’s ERP extraction tools and shared via Sovity CE connectors implementing the Dataspace Protocol (DSP). The Minimum Viable Data Space (MVDS) architecture connects Piacenza and its partner through secure, policy-governed data exchange, with identity management handled by Keyclock and operational oversight through the Sovity Portal, ensuring real-time traceability and environmental compliance. The main benefits are improved efficiency, reduced errors, lower costs, enhanced transparency, and increased customer trust through verifiable sustainability credentials and circular value chain practices.

Lessons Learned & Observations

The Piacenza pilot has shown that integrating existing platforms (like TRICK) with dataspace services requires not only technical connectors but also strong alignment on governance, semantics, and certification processes. A key lesson learned is that standardization of DPP/PEF data models is essential to achieve seamless interoperability across multiple stakeholders. Another important insight is that traceability and sustainability reporting become much more efficient and trustworthy when blockchain certification is combined with dataspace compliance mechanisms. Finally, the pilot confirmed that SMEs can actively benefit from dataspaces if onboarding is simplified, leading to greater transparency, cost reduction, and customer trust.

Replication Potential & Feasibility Assessment

The Piacenza pilot demonstrates strong replication potential in textile and other process industries where traceability, sustainability compliance, and circularity are strategic drivers. Technically, replication is highly feasible thanks to standardized Digital Product Passport (DPP) and Product Environmental Footprint (PEF) models, interoperable connectors (EDC, Syxis, Sovity), and integration with existing ERP and certification systems. Economically, the model is viable because it reduces compliance costs, streamlines certification, and enables new value-added services such as automated reporting and trusted sustainability labelling. Replication can be achieved across textile clusters, fashion supply chains, and extended to adjacent sectors (e.g., food, machinery) with limited adaptation effort

Contact Information

 

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