Digitalisation in production

 

Transforming Production Through Digitalization and AI

Production in transition

Digitalisation is not just a buzzword but a driving force that fundamentally changes the way we produce. This revolution goes beyond mere automation; it transforms production processes into intelligent, networked and highly flexible processes.

The traditional notion of rigid production lines is being replaced by dynamic networks of intelligent machines that can adapt to changing requirements. This flexibility opens up unimagined possibilities for customised production, where products are no longer manufactured but literally shaped. 

Welcome to a future where technology and production merge and open new horizons.

What is digitalisation in production?

Digitalisation in production refers to the transformation of traditional manufacturing processes into digital formats and approaches. It involves the use of modern technologies (e.g. Internet of Things (IoT), artificial intelligence (AI), Big Data and automation) to make production processes more efficient, flexible and responsive. This involves collecting and processing real-time data from machines, equipment and other sources to make informed decisions, avoid bottlenecks, ensure quality and optimise the entire production chain. Digitalisation enables the seamless integration of information and communication technologies into production and helps to increase companies competitiveness, efficiency and innovative capacity.

Opportunities and challenges of digitalisation

The development of digitalisation and AI in production opens up an impressive range of opportunities and at the same time, challenges arise. On the one hand, digitalisation and AI in production enable the automation of processes and thus precise, error-free and round-the-clock production, which leads to higher productivity. On the other hand, the adaptability of digital production systems offers the production of individualised products that meet specific customer requirements.

Furthermore, simulations and virtual tests accelerate the rapid introduction of new products and innovations. Moreover, the production data analysis enables deeper insights into processes and performance indicators to make continuous improvements. Last but not least, AI-driven systems can adapt to changing conditions and enable a quick shift to new product requirements or market changes.

Challenges include integrating AI and digitalisation into existing production processes, which can be complex and often require system adjustments. Furthermore, introducing digital technologies requires investments in infrastructure, training and adaptation of business processes.

Overall, AI and digitalisation in production offer the opportunity to revolutionise production processes and achieve competitive advantages but require a strategic approach and overcoming challenges.

The right solution for your project

The department »Digitalisation and AI in Production« deals with integrating advanced digitalisation technologies in manufacturing and production processes. The department aims to develop and implement innovative digital solutions that increase production environments' efficiency, productivity and flexibility. Specifically, the profile is as follows:

  • Shop Floor Management: We offer comprehensive solutions for efficient and optimised shop floor management. Our approaches range from process optimisation to real-time monitoring of production processes.

  • Information Logistics and Engineering: With our expertise in information logistics and engineering, we help companies optimise their data flows and integrate information seamlessly within the production environment.

  • Data processing: Our data processing solutions help you capture and analyse the vast amounts of production data and gain valuable insights to make informed decisions.

  • Artificial Intelligence: We use Artificial Intelligence to optimise your production processes and gain insights from data. From machine learning to predictive analytics - we support you in using AI in production.
    Learn more about the topic of artificial intelligence.

  • Setting up digital twins: Using digital twins, we can map production processes virtually, allowing us to plan operations more efficiently and realise innovative optimisations.

Our expertise manifests itself in the following core competencies

Networked production

  • Information logistics and data models for the flexible networking and control of (reconfigurable) production systems
  • Adaptive communication architectures
  • Intelligent data models (e.g. digital twin)

Knowledge-based technology

  • Building and using knowledge models for flexible and expert-driven model development
  • Ontologies
  • Model-driven engineering
  • Automated recognition of requirements (e.g. process and logistics chains by means of reasoning)

Machine learning

  • Use and adaptation of existing machine learning algorithms to increase productivity and robustness in production:
  • Process monitoring using image processing
  • Detection of anomalies (e.g. time series)

Our customised solutions are developed closely with our customers to ensure they are tailored to your needs and challenges. With our portfolio of offerings, we help you to take full advantage of digitalisation in production, optimise your processes and strengthen your competitive position in today's dynamic business world. 

We would be happy to show you how to address your challenges in the context of »networked production« in a no-obligation consultation. Contact us today to take the first step towards future-proof, networked production.

Further information on the topic of artificial intelligence

 

Artificial intelligence in production

 

AI Production Network Augsburg

 

Practice Guide »Artificial Intelligence«

Experience digitalisation in production

The concept of »digitalisation in production« becomes reality in the learning factory for networked production. The factory environment serves as a living laboratory where various aspects of digital transformation in production are researched and tested. Through our cooperation with the Mittelstand-Digital Zentrum Augsburg, we can offer small and medium-sized enterprises, in particular, customised opportunities and appealing solutions for collaboration.

Contact us for your individual offer!

Titelbild, Kachel, Icon zu Schulungen und Weiterbildungen
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Sustainable Production through Digital Innovation: Green Paths to the Future

Projekt zum Thema Nachhaltigkeit, Copyright: vegefox.com - stock.adobe.com
© vegefox.com - stock.adobe.com

In today's era of digitalisation, the issue of sustainability plays a crucial role in the production landscape. The merging of technology and production not only enables efficiency gains, but also opens up new ways to promote sustainability. Through intelligent data analysis and networking, production processes can be controlled more precisely and resources can be used optimally. In this way, waste and negative environmental impacts can be reduced.

Overall, the combination of sustainability and digitalisation in production opens up promising ways to design more environmentally friendly and future-oriented manufacturing processes.

Further competences and key topics at Fraunhofer IGCV

 

Engineering and
sustainable production

We are convinced that sustainable production in combination with efficient engineering is the basic prerequisite for a future worth living.

 

Multimaterial solutions

 

Recycling of
composites

With numerous research projects, we ensure a more sustainable use of this group of materials along the entire recycling chain.

 

Biological
Transformation

The biological transformation offers great potential for sustainable economic activity.

 

Casting technology

 

Artificial Intelligence (AI)

Smarter production - with artificial intelligence

Further reference projects

Here you will find an overview of various reference projects at Fraunhofer IGCV.

Cooperation with Fraunhofer IGCV

We will be happy to find an individual solution for you.

Further
contact persons

All contact persons for specific project inquiries.