WHAT WE
MADE HAPPEN

A new multi-vendor AAS platform was implemented to simplify data management with standardized digital twins. For the first time, users can access all relevant product data from various vendors in a standardized form on-the-go and on-demand.
THE CHALLENGE
WE SOLVED
Product data is often delivered in inconsistent formats, requiring time-consuming restructuring and vendor-specific integration. This project addressed the lack of interoperability by committing all participating partners to use the same standard for both content and provisioning of product information.
WHY THE RESULTS
MATTER (AND FOR WHOM)
Users benefit from a unified and straightforward way to gather supplier data, from engineering to operation, across independent vendors. The result: vendor-independent access to standardized, up-to-date data, without costly point-to-point connections or translation efforts.

Technical benefits:
- No point-to-point connection is necessary for each vendor; everything is possible over the same standard.
- Standardized information across all vendors means no additional translation or restructuring of data is needed.
Business benefits:
- Paperless provisioning of product data – available on demand to the right people when they need it.
- Vendor independent – no costly solutions needed for connecting each vendor.
- Up-to-date information.
INSIGHTS
AND Q&A
What is the Asset Administration Shell (AAS) and what benefit does it bring?
The Asset Administration Shell (AAS) is the standardized digital twin for industrial assets. It provides a common structure to describe machines, components, and systems in a way that is machine-readable and interoperable across vendors. Instead of dealing with different data formats and proprietary interfaces, the AAS makes product information available in a consistent, standardized form.
The benefit is that companies save time and effort in handling product data. Engineering, operations, and maintenance teams can access up-to-date information directly, without costly point-to-point integrations or manual restructuring. For suppliers, the AAS reduces duplication of work by providing data once in a standardized way. For users, it creates vendor-independent access to reliable information, enabling smoother collaboration, faster integration, and ultimately more efficient processes across the entire lifecycle of an asset.
Why the digital twin/ AAS should be interoperable?
- Efficient Data Exchange: One of the primary purposes of ensuring interoperability between the Digital Twin and AAS is to facilitate a standardized and efficient exchange of data across different stages of production. This standard-conformant data exchange is particularly beneficial in engineering sectors, where various stakeholders like manufacturers, suppliers, and customers are involved. Through the defined AAS standard, digital twins can be exchanged efficiently among different partners, thereby enhancing the process of engineering.
- Industry 4.0 Alignment: The interoperability aligns well with the objectives of Industry 4.0, which advocates for enhanced connectivity, standardization, and data sharing among industrial assets. This interoperability is described as a pillar of the mission statement for Industry 4.0. By establishing a standardized digital representation (Digital Twin) via AAS, Industry 4.0’s goals of creating an interoperable, sustainable, and sovereign industrial ecosystem are advanced.
- Manufacturer Interoperability: The AAS is instrumental in achieving manufacturer interoperability, meaning it enables the exchange of data between assets from different manufacturers. This is a significant advantage for manufacturers, suppliers, customers, and factories, as it simplifies cooperation and promotes a standardized representation of data. The interoperability thus facilitates better coordination among different stakeholders involved in the production ecosystem .
- Support for Autonomous Systems and AI: The Asset Administration Shell not only supports the exchange of data but also lays a digital and interoperable foundation for autonomous systems and Artificial Intelligence (AI). It does this by structuring data in a way that can be standardized, found, modeled, retrieved, and forwarded, covering the entire lifecycle of products, devices, machines, and facilities. This structured data handling is essential for realizing complex solutions and continuous value chains, which are core to the functioning of autonomous systems and AI in an industrial setup
- Implementation Challenges: The scope of implementation possibilities, use cases, and complexity in the production environment can be challenging, especially for small and medium-sized enterprises (SMEs), but also for larger companies. The interoperability between the Digital Twin and AAS helps in navigating these challenges by providing a structured approach towards implementing digital twins in a norm-compliant digital production
Interoperability between the Digital Twin and Asset Administration Shell is crucial for standardizing data exchange, aligning with Industry 4.0 objectives, facilitating manufacturer interoperability, supporting autonomous systems and AI, and navigating implementation challenges in the production environment.

