Shipbuilding meets digitalization: two years in the SEUS research project

Two intense years in the European research project SEUS are now behind me. Our shared goal: to drive the digitalization of European shipbuilding forward. The need for this remains as pressing as ever. The EU continuously funds research and development projects in the maritime sector to strengthen Europe’s position in global competition – which is vital for survival given the low-wage countries and extensive subsidies in markets outside of Europe.

Although European quality is highly valued in the maritime industry, cost pressures are forcing even this traditional sector to achieve massive efficiency gains and optimize its processes. This is exactly where we at CONTACT came in: as an integral partner in this research and a driving force behind the transformation, our goal was to provide the crucial data backbone required for successful digitalization.

A floating city – and what it has to do with PLM

First, we had to dive deep into the complex requirements and processes of shipbuilding to truly understand them. Through intensive discussions with shipyards, in-depth analyses, and a thorough review of the current state of research, we were able to build a comprehensive foundation of knowledge.

What really impressed us was the meticulous care with which the shipyards in this project process enormous volumes of information, collaborate securely across disciplines, and confidently navigate strict classification requirements. This involves tens of thousands of pages of test reports, calculations, manuals, and technical specifications.

What is being built here is nothing less than a small, self-sustaining city floating across the oceans – a construction process that never fails to fascinate. This is just as true for classic cargo and container vessels as it is for highly specialized cable-laying vessels, complex research ships, or military vessels.

The data backbone: connecting the maritime world

The greatest challenge lies in efficiently managing and transparently controlling the diverse information generated across all disciplines, engineering phases, and construction stages. To address this, we developed a data model specifically tailored to shipbuilding that connects all types of information, including project schedules, CAD models, simulation results, engineering designs, and supplier contracts.

Viewing the ship as a “physically massive and complex system” is crucial here. This means that instead of a few individuals keeping track of the entire vessel, a large number of engineers divide the work into smaller areas of responsibility. Depending on the engineering task and phase, they look at the ship from different angles. For example, while designing the propulsion unit focuses primarily on the architecture of that specific system, designing the ship’s hull centers on spatial layout.

A traditional product structure, which hierarchically organizes parts and assemblies based on how they fit together, cannot meet these demands. There is not one “true” product structure; instead, there are multiple viewpoints: systemic, spatial, production-centric, and module-oriented.
Many shipyards and engineering offices use a centralized system structure, as a large portion of the work involves designing, engineering, and integrating systems of all kinds. In Europe, the “SFI Group System” has established itself as the de facto standard for this purpose. This three-level standard catalog contains 4,080 entries for systems and subsystems that can be found in any type of vessel.

Schematic Diagram of Shipbuilding
CONTACT’s data model expands the standard catalog with additional perspectives.

Our IT architects designed a data model that systematically maps these other perspectives around this standard (for details, see our paper on Zenodo). In early-stage ship design, systems are first roughly dimensioned using placeholders. For example, you might specify that an engine is needed, but not yet which particular model. These placeholders – referred to below as “items” – are organized according to the SFI Group System catalogs.

As development progresses, we link these items to additional structures that form the basis of the other perspectives. Using the previous propulsion example, this could mean selecting a specific engine for that item. In addition to relevant documents, requirements, specifications, and project tasks, a CAD model can also be linked. Our partner Cadmatic enables this through a deep integration of CAD tools.

Although the project is not yet complete, a shipbuilding-specific PLM backbone, the flexible and modular CONTACT Elements platform, and the deep integration with marine CAD software already form a solid foundation for further application-level development. The sheer scale of these projects highlights why this is so critical: if even ten documents, such as specifications, CAD files, analyses, manuals, and test reports, are associated with each of the up to 4,000 possible subsystems, you quickly end up with massive amounts of data that would be uncontrollable without structured management.

On top of that, each of these documents goes through its own lifecycles, reviews, and approvals that must be coordinated both internally and with external partners. Seamless, traceable document management across corporate boundaries is therefore absolutely vital, and thanks to an extension in CONTACT Elements for shipbuilding, it is fully achievable.

To learn more about the background and the partners involved, check out the SEUS Annual Report 2025.

Digital transformations & organizational change management

What do climate change, pandemic developments, and statistical risks have in common with the impact of digital transformation on an organization’s people? Short answer: There’s a well-documented human tendency to ignore or underestimate complex or abstract risks. And what does that have to do with organizational change management? I’ll explain it all in this blog post.

A classic example of statistical risks involves the impact of a lack of exercise, nicotine, or alcohol on the increasing risk of cardiovascular diseases. When organizations embark on a digital transformation, they face a staggering 70% risk of failure. So, where’s the connection?

In both scenarios, there are recognized and effective solutions to minimize these statistical risks. When it comes to digital transformation, that solution is the consistent application of organizational change management. It’s not enough to be perfectly set up technically and methodologically. The human factor – the people who are the target of the change – must also be a central focus.

What is organizational change management?

Organizational change management is a systematic approach. It actively manages the human side of change in an organization. This includes a range of processes, technologies, or strategies to support people through change and thus achieve the desired outcome.

Sounds familiar?

In my consulting practice, I often find that anecdotal or psycho-educational examples help people tap into their own experiences, sparking memories of similar situations. I often hear reactions like, “That’s exactly how it is for us too,” or “I can totally relate to a project like that.” That’s the exciting moment when things suddenly click, and connections are seen in a whole new light. Let me give you two examples:

1. Unclear direction

In one instance, the stated vision for a change program was simply: An 8% EBITA increase. However, employees in their day-to-day work couldn’t grasp how their efforts, directly or indirectly, contributed to this vision, which, let’s be honest, was more of a metric target.

They had no idea when or how this would be measured, what would happen next, or what it meant for them personally. They also didn’t know the consequences of either falling short or exceeding the target. Ultimately, this vision was a pretty ineffective way to provide direction.

It’s rarely just one missing piece. More often, it’s a combination of several underestimated or misunderstood situations and actions that, together, negatively impact the outcome far more significantly than any single one would appear to do.

2. Lack of Sponsorship

Understanding is fundamental to the willingness to support a change project. Employees must recognize that this change is important and urgent and that the consequences of ignoring this fact really must be avoided.

Part of this understanding is that the situation naturally commands adequate management attention. Someone needs to be at the helm, actively and with clear commitment, steering the ship around these critical shoals.

Here are the three most common misunderstandings about sponsorship I’ve encountered in projects:

  1. Top management views its sponsor role as something done exclusively behind closed doors, in steering committee meetings. Result: No one sees anyone actually steering.
  2. Responsibility for the change is delegated to a management level that lacks the necessary decision-making authority. Result: Someone is handed a tiny paddle and told to steer a supertanker.
  3. The entire topic of sponsorship simply hasn’t been formally clarified. Result: The steering wheel just spins wildly on its own.

Unclear visions and a lack of sponsorship are just two of the top drivers that can derail change initiatives.

Where skepticism and resistance brew

The human brain automatically fills in missing pieces. When intentions are opaque, information is scarce, and one’s own role in the changing landscape remains unclear, people instinctively fill those gaps with their own interpretations and explanations. These ideas spread like wildfire through the organization’s fastest communication channel – the rumor mill – where they’re vetted for plausibility. This includes things like ideas for better solutions, anxiety about no longer being seen as an expert, fear of losing the security that comes with familiar processes and tools, or the firm belief that “we can just keep doing things the way we always have.” Prominent themes are also appreciation, future prospects, and the fear of job loss.

To cut to the chase: we humans generally don’t like change. In fact, we often go to great lengths to preserve the status quo, or even to restore it if it’s been disrupted.

What role plays organizational change management?

At its core, organizational change management has three main goals:

  1. Accelerating adoption by boosting user acceptance and reducing resistance to new solutions or ways of working.
  2. Maximizing utilization by ensuring people consistently and effectively use new tools, processes, or systems, rather than reverting to old habits.
  3. Optimizing efficiency by empowering users to work productively with new solutions and unlock the full potential of the transformation.

Organizational change management: your path to success

Humans are a critical component of any digital transformation. Organizational Change Management is a critical success factor for any change project, ensuring that technological investments actually deliver their intended value.

And as I’m sure you’ll agree, there are indeed parallels between climate change, pandemic developments, and statistical risks, and the impact of digital transformation on an organization’s people: The more abstract and complex a danger or risk is, the more likely people are to underestimate or even ignore it. To minimize the significant risks posed by human factors in digital transformation, the consistent integration of organizational change management isn’t just helpful – it’s absolutely essential.

Pontus-X: The backbone of the Gaia-X ecosystem

Pontus-X is a core ecosystem within Gaia-X. It was one of the first publicly available Gaia-X ecosystems with a large number of participating projects and companies from multiple countries. This has made it a crucial catalyst for the development and deployment of Gaia-X technologies. By connecting CONTACT Elements to Pontus-X, we enable federated data exchange that boosts operational efficiency and improves data governance. In this article, learn how companies can operate confidently in a world of distributed data.

Technically, Pontus-X is built on Distributed Ledger Technology (DLT) for the decentralized and trustworthy management of data and services. A key element of Pontus-X is the Ocean Protocol by Ocean Protocol Foundation, which puts data control in the hands of data owners and service providers.

One of Pontus-X’s most relevant features for ensuring data sovereignty is Compute-to-Data.

Compute-to-Data – Data flow while maintaining data sovereignty (© deltaDAO)

With the help of Compute-to-Data, data never leaves its owner’s infrastructure, thus remaining more effectively under their control. Instead, it allows algorithms to be brought to the data, extracting valuable insights without revealing the data itself. One exemplary use case is Federated Learning, which involves training AI models with distributed data. In this process, users receive only the trained model but no direct access to the sensitive training data.

Through this combination of various technologies, Pontus-X provides a solid foundation for secure, transparent, and sovereign data exchange within the Gaia-X ecosystem.

CONTACT Elements: Your data in Gaia-X

CONTACT Elements enables companies to seamlessly integrate their data into the Gaia-X ecosystem. A practical example is our partner GMN, a leading manufacturer of high-tech motor spindles. GMN uses sensor data from its spindles to offer data-driven services.

We’ve integrated CONTACT Elements to link quality data from a spindle on the shopfloor with the results of an end-of-line test bench. This data allows GMN to offer its customers comprehensive data-driven services, such as verifying correct assembly or performing digital commissioning.

Example of the vibration velocity of a grinding spindle as part of quality inspection measurements at GMN

We realized this data offering through the Pontus-X ecosystem. CONTACT Elements collects the relevant data from the spindles, aggregates it, and publishes it in the Pontus-X ecosystem. This process is largely automated and uses the AAS integration module as well as the data space integration of the Elements platform.
Through this integration, we empower companies like GMN to securely, reliably, and sovereignly share their data in order to develop new business models and innovative services.

Federated data exchange: Added value for your business

Federated data exchange offers significant advantages to companies. Unlike centralized platforms, data remains at its original storage location. Each organization retains control over its own data and determines who can access which data.

Increased operational efficiency:

  • Faster data availability: Access to real-time data without long transfer times or complex integration projects accelerates decision-making processes and responses to market changes.
  • Improved collaboration: Secure and controlled data exchange supports cooperation with partners, suppliers, and customers. This leads to more efficient processes, shorter lead times, and higher quality.
  • Process automation: Automated data exchange between different systems and organizations reduces manual tasks and errors.

Improved data governance:

  • Transparent data origin: Understanding data provenance is particularly important for companies operating in regulated industries or those that need to meet strict compliance requirements.
  • Controlled data access: Companies retain control over who can access their data and how it is utilized. This enables them to protect sensitive data and adhere to data protection regulations.
  • Meeting compliance requirements: Federated data exchange supports companies in meeting compliance requirements by ensuring adherence to defined rules and guidelines for data exchange.

Specific use cases:

  • Supply chain management: Data exchange between suppliers, manufacturers, and logistics providers enables transparent and efficient supply chain management.
  • Engineering: The exchange of design data between various engineering departments or external partners accelerates the development process and improves product quality.
  • Production: Exchanging production data between different production sites enables more efficient resource utilization and optimizes production planning.

Our approach: “Bring your own connector”

Building and operating proprietary infrastructure can be complex. That’s why we support companies with our “bring your own connector” approach, which adheres to the Gaia-X principle of portability. This avoids vendor lock-in by giving companies the freedom to choose which connector they integrate into their existing or new infrastructure and where they operate it.

What CONTACT Elements offers:

  • Integration into existing infrastructures: CONTACT Elements focuses on seamless integration into existing or new infrastructures required for participation in Gaia-X.
  • Interfaces to various data spaces: Whether it’s Pontus-X or Eclipse Dataspace Components (EDC), CONTACT Elements provides interfaces to both technologies. This allows companies the flexibility to choose which data space best suits their needs.

With our “bring your own connector” approach, companies leverage the benefits of the Gaia-X ecosystem without compromising on flexibility, portability, or data sovereignty.

CONTACT Elements paves the way for sovereign data exchange in the Gaia-X ecosystem

The vision of Gaia-X to create an open, secure, and trustworthy data ecosystem is drawing closer. By connecting CONTACT Elements to Pontus-X and through the “bring your own connector” approach, we give companies the flexibility and portability they need.

Federated data exchange offers companies a multitude of benefits: from increasing operational efficiency and improving collaboration to unlocking new business models.

We are convinced that Gaia-X has the potential to fundamentally transform the European economy and drive innovation across all industries. With CONTACT Elements, companies are well equipped to seize these opportunities and actively shape the future of data exchange.