logo-APP_ver
✕
  • Home
  • About us
  • Services
    • Cathodic dip coating (KTL)
    • Robotic welding
    • Special applications
    • Complete parts production
  • Blog
  • Contact
  • EN
    • CZ
    • DE

We are a member of Colegium holding

 +420 605 009 909

info@appcz.eu

Kariéra
  • EN
    • CZ
    • DE
logo-APP_ver
  • Home
  • About us
  • Services
    • Cathodic dip coating (KTL)
    • Robotic welding
    • Special applications
    • Complete parts production
  • Blog
  • Contact
  • EN
    • CZ
    • DE
logo-APP_ver
  • Home
  • About us
  • Services
    • Cathodic dip coating (KTL)
    • Robotic welding
    • Special applications
    • Complete parts production
  • Blog
  • Contact
  • EN
    • CZ
    • DE

Trends in Industrial Automation Are Driving Manufacturing Towards Greater Efficiency and Safety

25. November 2025
Ilustrační obrázek k blogovému článku o trendech v automatizaci

Manufacturing automation is undergoing a fundamental transformation. The interconnection of machines, sensors, and systems through the Industrial Internet of Things (IIoT), combined with the use of artificial intelligence, is opening up new possibilities in process control, predictive maintenance, and quality assurance.
Today, these technologies represent a key pillar of industrial production – increasing productivity, safety, and sustainability while enabling more efficient use of resources and reduced costs.

Industrial Internet of Things (IIoT)

At the core of modern automation lies the Industrial Internet of Things (IIoT). This concept connects machines, sensors, and systems into a single, data-driven ecosystem. IIoT data provides real-time insight into equipment condition and production processes, enables predictive maintenance, reduces downtime, and optimises energy consumption.

Thanks to sensors, equipment continuously monitors parameters such as temperature, vibration, or electrical current, allowing deviations to be detected and addressed before they affect quality or productivity. The result is higher reliability, improved planning, and more efficient production management. Automotive Painting Partners (APP) applies these principles across several key areas of operation.

Robotic welding: precision and data combined

The robotisation of welding processes delivers not only higher precision and repeatability, but also the ability to monitor every production step in detail. At APP, we provide comprehensive robotic welding services and tailor-made solutions – from individual operations to complete welding of structural assemblies. We employ advanced robotic and automation technologies that ensure maximum efficiency, flexibility, and technical accuracy.

In cooperation with our subsidiary Engineering Automotive Partners (EAP), we design, build, and operate automated production lines and workstations – both for our own manufacturing and for external projects within the automotive industry.

 

The integration of sensors and control systems enables continuous monitoring of operational data, condition assessment, and predictive maintenance. This significantly reduces downtime and improves weld quality. Our main robotic line is equipped with the latest generation of Kawasaki welding robots for MIG/MAG arc welding, complemented by handling robots. Fronius welding power sources and Siemens control systems enable online monitoring and real-time communication.

Paint line modernisation: IIoT at the heart of production

Another major step in production digitalisation is the modernisation of the paint line system at our Nymburk facility, introducing IIoT elements directly into the core manufacturing process. Both of our cathodic electrocoating (E-coat) lines are capable of processing up to 10 million square metres of surface area per year, making them among the largest in the Czech Republic. The modernisation will enable comprehensive data collection and evaluation from production operations, allowing us to control processes with even greater precision, respond more rapidly to deviations, and optimise resource utilisation.

Artificial intelligence and predictive analytics

As the volume of production data grows, artificial intelligence (AI) and machine learning come into play. These technologies transform IIoT sensor data into actionable predictive models – for example, identifying potential equipment failures or optimising production parameters in real time. AI is also increasingly used in quality control, such as visual inspection of surface treatments.

At APP, AI is currently used primarily for long-term quality analysis and to support administrative processes, where it helps track trends, evaluate production data, and support more effective decision-making. In the future, we plan to expand the use of AI directly within production processes as well.

Automation for more efficient and sustainable manufacturing

Modern automation systems deliver higher productivity, energy savings, and more environmentally friendly operations. At the same time, they enhance safety by reducing the need for manual intervention and enabling operation in environments that are unsuitable or hazardous for human workers.

As part of Colegium Holding, which brings together technology companies specialising in industrial manufacturing and engineering, Automotive Painting Partners fully embraces these principles. By integrating development and production, we offer comprehensive solutions – from design and engineering through to the implementation of automated lines and workstations.

Technologies such as IIoT, artificial intelligence, and robotics are not just trends for APP – they represent a clear path towards more efficient, safer, and more sustainable manufacturing in the spirit of Industry 4.0.

Related posts

30. January 2026

Veronika Ševčíková: Long-Term Motivation Is Not Just About Salary, but Above All About Fairness and Meaningful Work


Read more
19. January 2026

KTL, hot-dip galvanising or powder coating? When to choose which method?


Read more
12. January 2026

Two KTL lines guarantee zero risk and continuous production


Read more

Contact

Are you looking for a reliable solution? Contact us!

info@appcz.eu

Please enable JavaScript in your browser to complete this form.


Agreement *

Loading

Company headquarters

Automotive Painting Partners s.r.o.
Chobotecká 365, Čejetice
293 01 Mladá Boleslav

ID: 28546954
VAT: CZ28546954

The company is registered at the Court in Prague C 149405

Offices

Pražská 2589
288 02 Nymburk

17. listopadu 60
594 54 Police nad Metují

Nymburská 53
289 13 Zvěřínek-Písty

Quick contact

+420 737 101 815

 info@appcz.eu

Useful links

Certification
General Terms and Conditions of Purchase
Quality Policy
Social Responsibility

Links

Cookies
GDPR

  

© 2026 website created by SEMTIX.cz
    Manage Consent
    To provide the best possible service, we use technologies such as cookies to store and/or access information about your device. Consent to these technologies will allow us to process data such as browsing behavior or unique IDs on this website. Refusal or withdrawal of consent may adversely affect certain features and functionality.
    Functional Always active
    Technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service that the subscriber or user has explicitly requested, or solely for the purpose of carrying out the transmission of a message via an electronic communications network.
    Preferences
    Technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
    Statistics
    A technical storage or access that is used exclusively for statistical purposes. Technical storage or access that is used solely for anonymous statistical purposes. Without a subpoena, voluntary compliance by your Internet Service Provider, or other records from a third party, information stored or obtained solely for this purpose cannot usually be used to identify you.
    Marketing
    Technical storage or access is required to create user profiles for the purpose of sending advertising or to track the user across a website or across several websites for similar marketing purposes.
    • Manage options
    • Manage services
    • Manage {vendor_count} vendors
    • Read more about these purposes
    Show preferences
    • {title}
    • {title}
    • {title}