From Compliance to Competitiveness: How the Machine Tool Industry Can Embrace the Digital Product Passport (DPP)
Following the European Union’s formal adoption of the Ecodesign for Sustainable Products Regulation (ESPR) in 2024, the Digital Product Passport (DPP) has rapidly become one of the most important topics for global manufacturing and supply chains. For many Taiwanese machine tool and component manufacturers, the first reaction may be: Is this yet another complex EU compliance requirement? Will it bring heavier production costs and administrative burdens?
A closer look at the latest policies and white papers released by the European Commission, CECIMO and European standardisation bodies shows that the EU’s vision for the DPP has already moved far beyond simple regulatory compliance. The DPP is not merely a vehicle for disclosing product information; it is a core tool for building Europe’s product data infrastructure across the Single Market.
For the machine tool industry, implementing the DPP is by no means just a matter of attaching a QR code to a machine. It represents a critical turning point that will drive companies to govern fragmented product data and move from traditional equipment manufacturing and sales toward lifecycle services and high-value smart manufacturing.
The Core of the DPP Is Not Documentation, but Data Governance Across the Supply Chain
In the past, Taiwanese machine tool companies exporting to Europe mainly had to prepare paper-based or PDF declarations demonstrating compliance with CE marking, the Machinery Directive, RoHS or REACH.
The concept behind the DPP, however, is fundamentally different: product information must exist and be continuously updated throughout the entire product lifecycle in a standardised, traceable, machine-readable and interoperable digital data structure.
According to the EU’s methodology for defining data requirements for the DPP under the ESPR framework, future DPP data design will establish consistent data structures for different product categories. Information will be classified by importance as essential, strongly recommended or voluntary, while also incorporating concepts such as data governance, access rights, data granularity and data-sharing mechanisms.
As a result, future DPP data models are expected to include the following core elements:
- Data classification and access control: Data will be classified by sensitivity, including publicly available information such as basic specifications and energy-efficiency labels; information shared among supply chain partners, such as B2B component histories and carbon-footprint data; and privileged information accessible only to regulators or authorised repairers.
- Data granularity: Product data will be connected at different levels, from model level and batch level to the item or instance level of each machine with a unique identifier.
- Data governance: Clear rules will be needed on who provides data, how it is verified, how access rights are granted and how cybersecurity is ensured.
This means that companies will not simply be responding to product specifications or collecting another report. They will need to establish product data that is credible, continuously updated and capable of circulating across departments and supply chains.
The Machine Tool Industry’s Biggest Challenge: Not a Lack of Data, but Fragmented and Disconnected Data
Looking at Taiwan’s machine tool and supply chain ecosystem, most medium and large manufacturers have already accumulated substantial data assets through digitalisation, including:
- Design stage: CAD 3D models and PLM/PDM product lifecycle management data.
- Manufacturing and procurement stage: BOMs, ERP procurement and supplier records, and MES production data.
- Quality assurance and inspection stage: ISO inspection reports, accuracy testing data and factory energy-efficiency tests.
- Operation and after-sales stage: customer warranty records, parts replacement histories and controller operation logs.
The greatest challenge for the machine tool industry in adopting the DPP is not the absence of data, but data silos. These data sets have long been scattered across different IT and OT systems, and in many cases still rely heavily on Excel sheets, paper approvals or PDF files. They lack unified data-format standards and automated connection mechanisms.
Therefore, the first task for machine tool manufacturers adopting the DPP is to establish internal product data governance. Through product data mapping, companies must connect CAD, PLM, ERP and MES data chains so that information across different systems can be linked, updated and kept consistent.
From data governance to business model innovation, the value of the DPP lies not only in making product information searchable. More importantly, it enables data traces to be connected and reused across every stage of a machine’s lifecycle, from design, production and delivery to use, maintenance and recycling. Once this data capability is established, machine tool manufacturers can transform information scattered across after-sales service, parts supply and equipment operation into new service value.
Business Model Transformation: How the DPP Drives Machine Tools Toward Lifecycle Services
The introduction of the DPP will fundamentally reshape the relationship between machine tool manufacturers and their customers, opening the door to new business models.
In the past, the machine tool industry largely followed a business model of selling equipment, providing warranty service and offering after-sales repair. After delivery, manufacturers had limited visibility into how equipment was used.
When products are assigned unique identifiers and linked to a Digital Product Passport, companies can continuously accumulate information on maintenance, replacement parts, energy efficiency, upgrades, remanufacturing and recycling. Beyond supporting regulatory compliance, these data can also enable higher-value services such as predictive maintenance, asset health management, remanufacturing and circular-economy solutions.
Therefore, the DPP is not merely a product history record. It is an important foundation for servitization and circular business models. As equipment data continues to accumulate throughout the product lifecycle, machine tool manufacturers can move beyond one-off equipment sales into services such as preventive maintenance, parts updates, equipment upgrades, remanufacturing and second-hand machine value management.
1. Unique Product Identifiers Give Machines a Digital Identity
By assigning a Unique Product Identifier (UPI) to each machine tool and its key components, such as spindles, controllers and ball screws, the history of each piece of equipment can be fully recorded from the moment it leaves the factory.
2. Driving Servitization and the Circular Economy
The traditional machine tool model has often been “equipment sales → warranty service → reactive repair.” When the DPP is combined with the Internet of Things (IoT) and Digital Twin technologies, however:
- Predictive maintenance: OEMs can use the DPP to access historical operating data and the lifespan of key components, proactively reminding customers to replace consumables.
- Remanufacturing and the second-hand market: As the EU advances the circular economy, second-hand machine tools with transparent histories, clear maintenance records and energy-consumption evidence will see their residual and remanufacturing value increase significantly. This will help OEMs expand into refurbished machines, leasing and Product-as-a-Service models.
In 2021, France became the first country to implement a Repairability Index, a scoring system that evaluates how easily electronic and household appliances can be repaired. With a full score of 10, a higher score indicates that a product is easier to repair and more environmentally friendly. The system is intended to reduce electronic waste and extend product lifespans. In 2023, Taiwan’s Ministry of Environment also began promoting repairability index guidelines for electronic products, guiding laptop and mobile phone companies in trial implementation.
Supply Chain Spillover Effects: The Data Collaboration Challenge for System Integrators
It is worth noting that the EU has clearly stated that the DPP will gradually apply to different product categories, with data content and implementation schedules to be defined through delegated acts. Although machine tools are not currently included among the first priority product groups, the machine tool supply chain involves steel, electronic components, controllers, motors and other industrial parts. It will inevitably be affected by future data-exchange requirements from upstream and downstream customers. As a result, the impact of the DPP on the machine tool industry will not come only from direct regulatory requirements, but will also spread through procurement specifications and data-exchange requirements across global supply chains.
According to the EU’s first ESPR Working Plan, priority areas include iron and steel, aluminium, batteries, textiles, ICT products and electronic equipment. Although complete machine tools are not expected to be among the first product categories subject to mandatory DPP requirements, machine tool manufacturers cannot remain unaffected.
Machine tool manufacturers play the role of system integrators in the industrial chain. A high-precision machine tool contains thousands of components sourced from global supply chains:
- Upstream steel and castings will need to provide carbon-footprint and material-composition information.
- Motors and drives will need to provide waste electrical and electronic equipment (WEEE) and recycling information.
- Controllers and software will need to comply with cybersecurity and digital documentation requirements.
When downstream customers, such as European automotive companies, aerospace suppliers and semiconductor equipment manufacturers, are required to submit DPPs for their final products, this pressure will quickly move upstream along the supply chain. If machine tool manufacturers can request and integrate digital data from upstream component suppliers in advance, they will be able to provide downstream customers with the added value of generating compliance data at one click. This will become a key competitive advantage in securing high-end European orders.
What Can Machine Tool Companies Start Doing Now?
In facing the DPP, companies do not need to wait until the regulation formally applies before preparing. Rather than investing heavily in rebuilding entire systems all at once, a more practical approach is to progressively build product data governance capabilities, starting with foundational work that makes data identifiable, connectable and maintainable. Companies can begin with the following five actions:
- Establish Unique Product Identifiers: Give each product, component and piece of equipment a traceable unique identity.
- Map product data sources: Integrate ERP, PLM, MES, quality management and after-sales service systems to understand where data is distributed.
- Build supply chain data-exchange mechanisms: Work with suppliers to establish consistent product data formats and improve information-sharing efficiency.
- Promote Product Lifecycle Management: Incorporate design, production, maintenance, updates and recycling information into a unified product data architecture.
- Develop data governance capabilities: Establish data ownership, update processes and quality management systems to ensure the long-term maintenance and credibility of product information.
In fact, the machine tool industry standards promoted since 2020 by the Taiwan Machine Tool & Accessory Builders’ Association (TMBA) in cooperation with the Industrial Development Administration, Ministry of Economic Affairs, have already established the prototype of the foundational work required for the DPP. These efforts include mapping product data sources, establishing supply chain data-exchange mechanisms and promoting product lifecycle management.
Conclusion: The DPP as a New Starting Point for Smart Manufacturing and Sustainable Transformation
The Digital Product Passport is often seen as a regulatory requirement under the ESPR. On the surface, it is a threshold established by the EU to implement the European Green Deal and the circular economy. In essence, however, it represents a restructuring of global supply chain data transparency and digital capability. Its real purpose is to build a digital information foundation that spans companies, supply chains and product lifecycles.
In the future, the competitiveness of the machine tool industry will no longer depend only on how high a machine’s machining accuracy is or how fast it can cut. It will increasingly depend on whether companies can provide smart equipment with transparent, reliable, traceable and complete lifecycle data. By treating the DPP as a catalyst for internal digital transformation and green transformation, and by establishing product data governance systems early, Taiwan’s machine tool industry can turn regulatory challenges into a key competitive advantage in the international market as global supply chains are reshaped.
Reference
- European Commission (2024). Ecodesign for Sustainable Products Regulation (ESPR) - Digital Product Passport Overview.
- Publications Office of the European Union (2024/2025). Methodology for defining data requirements for the Digital Product Passport under the ESPR framework.
- CEN/CENELEC JTC 24 (2024). Standards on Digital Product Passport Framework and Interoperability.
- CECIMO - European Association of the Machine Tool Industries (2024). Position Paper on Digitalisation, Digital Documentation and Alignment of Common Specifications in the Machinery Sector.
- VDMA (2024). Digital Product Passport in Mechanical Engineering - Implementation Guide for Machinery.
- Joint Research Centre (JRC) (2026). Methodology for defining data requirements for the Digital Product Passport under the ESPR framework.
- Publications Office of the European Union (2026). Methodology for defining data requirements for the Digital Product Passport under the ESPR framework.
