Digitalisation / Industry 4.0, virtual manufacturing and evaluation models
Advancing automation and digitalisation are significantly shaping developments in the manufacturing industry. Automation and digitalisation approaches open up a wide range of possibilities for increasing efficiency, quality and sustainability in production. This includes not only process simulation, but also the creation of digital twins of systems and components that make it possible to optimise and monitor processes virtually.
A key focus here is the realisation of sustainable manufacturing and assembly processes through digitalisation. By integrating digital technologies, resources can be utilised more efficiently and environmental impact reduced.
Another important aspect is inline quality assurance, which utilises methods and technologies to continuously monitor and improve product quality. Machine learning approaches in particular, i.e. artificial intelligence (AI), are playing an increasingly important role here by recognising complex patterns and making decisions in real time.
Managing and analysing process data also plays a central role. Effective digital process data management enables companies to gain valuable insights and continuously optimise their manufacturing processes. The various aspects and challenges in the field of automation and digitalisation approaches are examined in more detail below.
In summary, the following topics can be summarised as expertise of the ZLP Stade site:
- Automation and digitalisation approaches
- Process simulation, digital system and component twins
- Sustainable production and assembly through digitalisation
- Methods and technologies for inline quality assurance
- Machine learning approaches (AI) in production technologies
- Digital process data management