Production Control Systems

Additive production enables unique product properties combined with maximum geometric design freedom and economical material consumption. Customer requirements are implemented within a complex production chain. Additive manufacturing demonstrates its strengths particularly in flexible make-to-order production and just-in-time. High flexibility and individualization also require flexible and individual solutions for planning digital process chains and therefore place high demands on the control systems used.

Production control and planning systems help to maintain an overview of the complex process steps and to connect, control and utilize diverse machine and plant parks in the best possible way. Intelligent and scalable solutions, tailored to the special requirements of additive production, pave the way to greater sustainability, flexibility and cost-effectiveness.

Our in-depth knowledge of additive process chains enables a personalized, modularized system solution tailored to customer needs, with the aim of intelligent, scalable, sustainable and fully digital production, whether data-driven or following the individual rules of the respective processes.

• Data engineering for production data
  
  A central component of the implementation, development and realization of new planning approaches is the collection, processing and preparation of data. Which target values are required? Where does the data come from? How is the data stored, made usable and prepared? A solid, constantly available contingent of production data and the modification of collected data form the foundation for the development of AI-based solutions.
  
  
• Development and implementation of new AI models for production
  
  The development and design of AI models based on data-driven and rule-based approaches play a central role in process planning. The combination of data and specific production rules has great potential to significantly improve additive production processes. Implementing and developing innovative models in production control systems that are based on both data and defined production principles make a significant contribution to the scalability, intelligence and sustainability of additive production.
  
  
• Modularization of planning processes
  
  The future of process planning requires a modularized approach. Each planning process can be broken down into smaller, manageable modules that can be added, removed or changed according to need and requirement. This offers companies maximum flexibility and enables them to react quickly to changes or new customer requirements. The integration of the tools into this modular structure ensures that they work together seamlessly and provide a consistent and efficient workflow.
  
  
• UI and visualization
  
  A key aspect of using digital planning systems is the user-friendliness and accessibility of the data. An intuitive user interface paired with an appealing and comprehensible visualization is of central importance here. The data must not only be made available in an accessible form, but also in a way that enables users to quickly extract the information they need and make decisions.