ID: 2469

Industrial transformation

Digital automation and artificial intelligence in production

The growing pace of technological change, increasingly dismal prospects for the global economy and political debate about trade relations and Brexit are putting the manufacturing industry under pressure. And how can we succeed in not simply going with the flow but playing an active role in this complex scenario, especially as a medium-sized family company?

If we take a closer look at individual sectors of industry and markets, we can see increasing volatility even within these ecosystems, for example in the automotive or electronics sector. Industry must find solutions that can flexibly deal with these fluctuations.


“Made in Germany” and German engineering expertise still enjoy an excellent reputation the world over. Our capital is profound expert knowledge in the construction of machinery and systems and in industrial production processes. Industry 4.0 initiated the fusion of state-of-the-art information technologies with the manufacture of machinery and production systems. We are now in the midst of an industrial transformation from large-scale series production to individually customisable products down to batch size 1.


With its smart digital solutions, the automation expert Festo is blending its comprehensive expertise in industrial applications with current developments in information technology, in order to realise software applications for industrial practice in automation. In digital communication, Festo accompanies its customers on the Digital Customer Journey, which securely and comprehensively leads them through the performance portfolio of Festo – from the acquisition of information and configuration, through ordering and delivery, up to commissioning and maintenance.


This is all now being supplemented by the skills and methods from the toolbox of artificial intelligence (AI). For the first time, they are enabling us to derive data directly from machinery and industrial production systems in operation by means of appropriate sensors, so that we can evaluate these data in real time and thus round out our knowledge of dependencies and interactions in the manufacturing process. Thanks to digitalisation and AI, the complexity of these processes is becoming fully controllable.


AI is the key to the world of tomorrow

The German government has defined the framework and the aims in its AI strategy: Germany should consolidate its strong position in Industry 4.0 and assume leadership for AI applications in this field. SMEs in particular are to benefit from these AI applications.

We are focusing on transferring our core competence of factory automation to the AI-supported, digitalised production of tomorrow. Today, algorithms analyse the data from machinery and provide forecasts of failures or prevent them from occurring. Tomorrow, algorithms will monitor, control, navigate, supervise and regulate value flows in a complex network. While they will not replace decisions by humans, they will support them in their decision-making.


The classic automation pyramid, with a linear connection between the production and corporate levels, is dissolving and is now orienting its structure towards networked, synchronised production. At the same time, digitalisation is generating virtual twins of machinery, systems and value flows. The great advantage here is that processes, parameterisations and configurations can be acted out in these computer-generated simulations without the need to intervene in existing production processes. Setting-up time and downtime are reduced. This saves costs and time – which is crucial for countries with a high labour content in manufacturing costs, so that they can remain competitive on the global market.


“High productivity due to full automation makes stockpiling of many spare parts necessary, for example, and gives rise to high personnel costs in preventive maintenance. AI, and here in particular machine learning with anomaly recognition, will help reduce these costs in future”, said Dipl.-Ing. Dr. h.c. Oliver Jung, Chairman of the Management Board of Festo AG.


Making good use of AI

To generate added value and increase efficiency with the methods from the algorithmic toolbox, use cases must be precisely defined. Satisfactory results are only possible if the data are strategically prestructured and are available in sufficient quantity. “We have taken a close look at quality assurance with AI in a production process at our own factories and have come to the conclusion that the big data approach from the consumer market is not successful in industry. We only managed to significantly increase efficiency once we united the expertise of the machine operators with the appropriate statistical methods of AI”, said Oliver Jung.


Festo is currently focusing above all on AI assessments “on edge”, in other words directly on the component, or on location within a production network. This saves costs, ensures real-time assessments and avoids latencies. Only intricate evaluations involving production locations distributed throughout the world need the large computer capacities of a connected Cloud infrastructure.


With the Festo IoT Gateway, existing production plants can be made AI-capable without major intervention. Algorithms and models can be updated directly on a device without modifying the PLC, independently of the computer capacity or the free resources of the PLC.


From mechanical to smart products

With the Festo Motion Terminal VTEM for example, Festo has already paved the way for digitalised pneumatics: the functions of the valve terminal can be controlled by app, so that different tasks can be carried out with the same hardware. In sectors of industry that manufacture products strongly oriented to individual customers’ wishes, such as kitchens, the potential degree of automation therefore rises.


What does this mean for people?

As the innovation leader in factory and process automation, Festo always focuses on people in addition to technical solutions and sees the role of technical education and training as crucial both to technological innovation and to promotion of the labour market.


Already in the 1950s, Festo realised that new technologies can only develop their potential when people know how to deal with them, and as a result founded Festo Didactic SE. As a global partner to educational institutions, governments, state-run facilities and companies throughout the world, Festo Didactic SE establishes and maintains training centres and laboratories as well as integral learning solutions and training programmes that systematically prepare people for working in dynamic and complex environments.


“Vocational training is thus a key to a company’s competitiveness”, emphasises Oliver Jung. The workplace is therefore becoming a place of “lifelong learning”. Companies rely on constant learning on the part of their employees to maximise their productivity. Self-controlled learning, and learning in contexts of application, are also gaining significance. With digitalisation, the competence required in both existing and new professions will continue to change, and with it also the requirements on education and training.

费斯托 (Festo)是一家全球性的独立的家族企业,总部位于德国埃斯林根。自成立以来,Festo在工业自动化技术和技术教育方面制定标准,从而为环境、经济和社会的可持续发展做出贡献。公司为超过35个行业的30万家工厂和过程自动化客户提供气动和电驱动自动化技术解决方案,其中生命科学和实验室自动化业务受到越来越多的关注。Festo产品和服务遍布176个国家。2022年,费斯托在全球61个国家的250多个分支机构拥有约20800名员工,实现销售额38.1亿欧元。每年约7%的销售额用于研发。在这家学习型企业,1.5%的销售额用于基础和进一步培训。Festo 教学培训 (Didactic SE) 是全球领先的技术教育和培训供应商,为全球客户提供工业环境中全面的数字化和常规学习解决方案。

© Festo SE & Co. KG
Dr Oliver Jung
Dipl.-Ing. Dr. h.c. Oliver Jung, Chairman of the Management Board of Festo
© Festo SE & Co. KG
Digitalisation 1
Digitalisation in the production.
© Festo SE & Co. KG
Digitalisation 2
Digitalisation and dashboards.