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K Topic: How digitalization and AI advance the plastics sector?

Source:Adsale Plastics Network Date :2025-07-14 Editor :VC
Copyright: This article was originally written/edited by Adsale Plastics Network (AdsaleCPRJ.com), republishing and excerpting are not allowed without permission. For any copyright infringement, we will pursue legal liability in accordance with the law.

One of the guiding topics of K 2025 is “Embracing Digitalization”. In the plastics industry, on-going digitalization offers new opportunities for producing more efficiently and sustainably.

 

The Federal Ministry for Economic Affairs and Climate Protection’s (BMWK) Digitalization Index 2024 provides an indication of the increasing level of digitalization and has found that the German economy has become around 14% more digital in the last five years.

 

Artificial Intelligence (AI) is considered a key milestone in this. According to a Bitkom study, 78% of the industrial companies polled view AI as decisive for their competitiveness while more than half are waiting to see how others get on first. Meanwhile, 48% lack the necessary AI skills and 91% demand fewer regulatory obstacles so as not to hamper AI innovations. These figures underline that there is broad consensus on the relevance of digitalization but many firms are hesitant to implement it in practice.


K Digitalization_480.jpg

(Source: Messe Düsseldorf/tillmann)

 

Connectivity and IoT

 

The digital control and connectivity of machines forms the basis for new technologies. “In plastics machinery construction automation has already been ongoing for over 40 years. Now nearly all go one step further and bank on digitalization,” says Ulrich Reifenhäuser, Chairman of the Advisory Board at K in Düsseldorf.

 

Cyber-physical systems (CPS) and the Internet of Things (IoT) make it possible to capture and evaluate production data seamlessly in real time. Sensors monitor temperature, flow rate or in-mold pressures, for example, and transmit the values to Cloud applications. An important communication standard for this is OPC UA, which makes for safe and cross-manufacturer data exchange.

 

Rising data volumes lead to questions of data use. According to industrial associations, the so-called “EU Data Act” has created clarity on this now. The new Data Act obliges machinery manufacturers to provide machine users with the data generated during operation in a simple and understandable, machine-readable way. At the same time, predictive maintenance moves into focus because real-time analyses can detect deviations early on and reduce unplanned downtimes.

 

Artificial Intelligence and automation

 

AI adds new dynamism to digital processes as self-learning algorithms analyze large data volumes and optimize processes flexibly. “AI and digitalization are game changers for the circular economy of plastics. Fully automated manufacturing processes, digital product passports and simulations make for optimized workflows and help save resources across the complete value chain,” says Dr. Alexander Kronimus, Deputy Managing Director at PlasticsEurope Deutschland, in an industry interview.

 

In addition, machine learning accelerates development cycles and improves process control. Digital twins go even one step further: they depict real production lines virtually and deliver structured data on the complete machinery utilization. Furthermore, they offer the possibility to save machine data and information in a structured and machine-readable format over the complete lifecycle.

 

Digital twins are said to also comply with the requirements of the Digital Product Passport (DPP), which was introduced with the EU’s Ecodesign for Sustainable Products Regulation (ESPR) entering into force in July 2024. These virtual twins of real manufacturing plants accelerate development cycles and ease maintenance strategies.

 

Optical quality control and AI-assisted sorting

 

In the field of quality assurance camera systems and AI-based image processing support manufacturing processes. They detect shape deviations, surface defects or material impurities during production and ensure consistent quality levels. These technologies allow early defect detection thereby reducing rejects and ensuring a more efficient use of resources.

 

In the wake of stricter environmental regulations and rising customer expectations the fitness of plastics for circularity is also moving centerstage. AI-assisted sorting systems with near-IR sensors (NIR) identify different plastic types, separate high-quality recyclates from impurities and improve the recycling quality. This increases reuse rates and contributes to compliance with regulatory requirements.

 

What’s more, digital systems are closely linked with the DPP, which features comprehensive information about the used raw materials, production processes and recycling paths. These technologies support companies in establishing closed material cycles, reducing environmental burdens and complying with the ESPR.

 

Challenges and skilled labor shortage

 

Despite numerous lighthouse projects progress is faltering in many companies, especially in SMEs. “Many small and medium-sized enterprises have not sufficiently invested in digitalization since this is associated with substantial costs and dependent on specific skills,” reports Mauritius Schmitz of the Institute for Plastics Processing (IKV) talking to the Industry Association for Plastics Packaging (IK).

 

Another obstacle is the shortage of skilled staff. Those wanting to introduce automation, AI and IoT technologies require specialists for data analysis and IT security. This staff and skills shortage occasionally slows down implementation even though technical solutions already exist. AR (Augmented Reality) goggles can provide relief here by displaying maintenance instructions or training content right in the staff’s field of vision.

 

At K 2025, the enormous potential that digitalization holds for the plastics sector will be both highlighted at the over 3,000 exhibitor stands and flagged up at the various Specials that also address the challenges – first and foremost the official K Special “Plastics Shape the Future”, organized by Plastics Europe Deutschland, and also the VDMA Forum.


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Source:Adsale Plastics Network Date :2025-07-14 Editor :VC
Copyright: This article was originally written/edited by Adsale Plastics Network (AdsaleCPRJ.com), republishing and excerpting are not allowed without permission. For any copyright infringement, we will pursue legal liability in accordance with the law.

One of the guiding topics of K 2025 is “Embracing Digitalization”. In the plastics industry, on-going digitalization offers new opportunities for producing more efficiently and sustainably.

 

The Federal Ministry for Economic Affairs and Climate Protection’s (BMWK) Digitalization Index 2024 provides an indication of the increasing level of digitalization and has found that the German economy has become around 14% more digital in the last five years.

 

Artificial Intelligence (AI) is considered a key milestone in this. According to a Bitkom study, 78% of the industrial companies polled view AI as decisive for their competitiveness while more than half are waiting to see how others get on first. Meanwhile, 48% lack the necessary AI skills and 91% demand fewer regulatory obstacles so as not to hamper AI innovations. These figures underline that there is broad consensus on the relevance of digitalization but many firms are hesitant to implement it in practice.


K Digitalization_480.jpg

(Source: Messe Düsseldorf/tillmann)

 

Connectivity and IoT

 

The digital control and connectivity of machines forms the basis for new technologies. “In plastics machinery construction automation has already been ongoing for over 40 years. Now nearly all go one step further and bank on digitalization,” says Ulrich Reifenhäuser, Chairman of the Advisory Board at K in Düsseldorf.

 

Cyber-physical systems (CPS) and the Internet of Things (IoT) make it possible to capture and evaluate production data seamlessly in real time. Sensors monitor temperature, flow rate or in-mold pressures, for example, and transmit the values to Cloud applications. An important communication standard for this is OPC UA, which makes for safe and cross-manufacturer data exchange.

 

Rising data volumes lead to questions of data use. According to industrial associations, the so-called “EU Data Act” has created clarity on this now. The new Data Act obliges machinery manufacturers to provide machine users with the data generated during operation in a simple and understandable, machine-readable way. At the same time, predictive maintenance moves into focus because real-time analyses can detect deviations early on and reduce unplanned downtimes.

 

Artificial Intelligence and automation

 

AI adds new dynamism to digital processes as self-learning algorithms analyze large data volumes and optimize processes flexibly. “AI and digitalization are game changers for the circular economy of plastics. Fully automated manufacturing processes, digital product passports and simulations make for optimized workflows and help save resources across the complete value chain,” says Dr. Alexander Kronimus, Deputy Managing Director at PlasticsEurope Deutschland, in an industry interview.

 

In addition, machine learning accelerates development cycles and improves process control. Digital twins go even one step further: they depict real production lines virtually and deliver structured data on the complete machinery utilization. Furthermore, they offer the possibility to save machine data and information in a structured and machine-readable format over the complete lifecycle.

 

Digital twins are said to also comply with the requirements of the Digital Product Passport (DPP), which was introduced with the EU’s Ecodesign for Sustainable Products Regulation (ESPR) entering into force in July 2024. These virtual twins of real manufacturing plants accelerate development cycles and ease maintenance strategies.

 

Optical quality control and AI-assisted sorting

 

In the field of quality assurance camera systems and AI-based image processing support manufacturing processes. They detect shape deviations, surface defects or material impurities during production and ensure consistent quality levels. These technologies allow early defect detection thereby reducing rejects and ensuring a more efficient use of resources.

 

In the wake of stricter environmental regulations and rising customer expectations the fitness of plastics for circularity is also moving centerstage. AI-assisted sorting systems with near-IR sensors (NIR) identify different plastic types, separate high-quality recyclates from impurities and improve the recycling quality. This increases reuse rates and contributes to compliance with regulatory requirements.

 

What’s more, digital systems are closely linked with the DPP, which features comprehensive information about the used raw materials, production processes and recycling paths. These technologies support companies in establishing closed material cycles, reducing environmental burdens and complying with the ESPR.

 

Challenges and skilled labor shortage

 

Despite numerous lighthouse projects progress is faltering in many companies, especially in SMEs. “Many small and medium-sized enterprises have not sufficiently invested in digitalization since this is associated with substantial costs and dependent on specific skills,” reports Mauritius Schmitz of the Institute for Plastics Processing (IKV) talking to the Industry Association for Plastics Packaging (IK).

 

Another obstacle is the shortage of skilled staff. Those wanting to introduce automation, AI and IoT technologies require specialists for data analysis and IT security. This staff and skills shortage occasionally slows down implementation even though technical solutions already exist. AR (Augmented Reality) goggles can provide relief here by displaying maintenance instructions or training content right in the staff’s field of vision.

 

At K 2025, the enormous potential that digitalization holds for the plastics sector will be both highlighted at the over 3,000 exhibitor stands and flagged up at the various Specials that also address the challenges – first and foremost the official K Special “Plastics Shape the Future”, organized by Plastics Europe Deutschland, and also the VDMA Forum.


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