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In focus: The topics of VDMA North Rhine Westphalia
Twin transformation in mechanical and plant engineering: How digitalization and sustainability together enable new business models and make the industry fit for the future.
The workshop series of the Effizienz-Agentur NRW (efa) provides practical support for the NRW mechanical and plant engineering industry when entering into circular business models - this offers enormous potential even in times of crisis.
Carbon management is a central key to achieving climate targets and highlights the important role of mechanical and plant engineering in implementing appropriate solutions.
Carbon Capture and Utilization (CCU) technology offers a promising opportunity to reduce unavoidable CO₂ quantities. This involves not only capturing carbon dioxide, but also reusing it as a valuable raw material in industry.
The circular economy is one of the key areas of transformation with opportunities as an enabler for mechanical and plant engineering. The kick-off event presented selected business models.
ProduktionNRW looks at different areas of the transformation megatrend. Practical examples from the mechanical and plant engineering sector are used to show how implementation can succeed and which success factors are important.
The VDMA NRW has summarized the expectations of mechanical and plant engineering companies for a future state government in six key demands.
The digital transformation in mechanical engineering is also reflected in total IT costs, which have been rising at an average rate of 5% per year faster than sales since 2017.
As part of the online event "Generative AI - Identifying potential, seizing opportunities", a survey was conducted among participants on 29.04.25 to obtain an up-to-date picture of the current mood.
The new VDMA white paper uses case studies to show how artificial intelligence is already being used in processes, products and business models.
As one of the world's largest scientific conferences on fluid power, it offers users, manufacturers and scientists an international forum for exchanging experiences on hydraulic and pneumatic drives and systems.
A new study shows: The targeted use of Generative Artificial Intelligence can increase the profit margin in mechanical and plant engineering by up to 10.7 percentage points. This corresponds to an additional profit of 28 billion euros.
The ‘Circular Production NRW’ funding programme is supporting innovative projects for sustainable, resource-efficient and circular value creation in SMEs with 21 million euros.
CECE Congress 2024 brought together industry leaders, policymakers and key stakeholders to discuss the future of the European construction equipment sector.
Mechanical engineering is at the data source for Industry 4.0, and secure data rooms are essential for their valuable use.
Growth and cutting-edge technological solutions characterize the world's leading trade fair for machine vision / Record number of exhibitors and strong increase in visitors in 2024
"Since I first learned about the OPC UA Companion Specifications, likely around 12 years ago, I have always regarded them as a true game-changer in industrial communication". - Pyry Grönholm CEO Prosys OPC Ltd.
Industry 4.0 pursues the introduction of internet technologies in industry with the aim of tapping into new value creation potential through networking and digitalization.
With the new Ecodesign Regulation and the establishment of a digital product passport, the EU Commission has set an important milestone under the Green Deal. The mechanical engineering sector will already be affected by the new requirements in the short term.
Together with members and partners, the trade association celebrated its 25th anniversary in Würzburg. One thing became particularly clear: the trade association and its topics are playing an increasingly important role in the industry.
What undiscovered opportunities are hidden behind technical documentation and how can valuable business models be created from it? An interview with Volker Granacher (tecteam GmbH) and Lars Kothes (kothes GmbH).
AI is playing an increasingly important role for companies in the mechanical and plant engineering sector. VDMA Software and Digitalization is therefore once again offering an interesting range of formats on the topic for all VDMA members.
In pharmaceutical companies, the need for fast, lean processes is increasing. In this context, digitization can help shorten market entry times, while maintaining and even improving product quality. However, players must also arm themselves against threats.
Data is the blood of the complex organism of product development. The results report "Digital Product Development" by the WZL of RWTH Aachen University and the VDMA compactly shows how the many pieces of information can be effectively linked.
The VDMA's capital city office is breaking new ground: Intensive discussions with stakeholders are on the program until the next General Assembly in order to drive forward the climate-neutral and digital transformation of the economy.
Our publications deal with various aspects of digitalization in mechanical engineering companies as well as cybersecurity and information security and serve as recommendations for action.
An unparalleled concentration of expertise - that's what the world's largest presentation forum for machine vision stands for. At the Industrial VISION Day you will find out about the latestes cutting-edge developments in the machine vision industry.
The publication provides industrial SMEs with practical guidance for the successful development of an individual strategy and roadmap for holistic digitization.
The VDMA Software and Digitalization publication "Added value through software" is here.
The guide "Self-learning Production Processes - Implementation Strategy for Reinforcement Learning in Industrial Practice" introduces the topic of Machine Learning and shows step by step how an implementation of industrial Reinforcement Learning can be carried out in one's own company. Application examples illustrate the procedure.
The "Intelligent and self-learning production processes" project investigated how machines can teach themselves optimal processes independently and through interaction with the environment using little data. The ML method "reinforcement learning" was used for this and tested on two applications.
Use cases for the guide - a practice-oriented tool for 5G applications (as of 2020 - current to date).
Your contacts in the trade associations and regional subsidiaries on this topic