Industrial automation

For us, industrial automation is above all one thing: the solid foundation so that production not only "runs", but becomes noticeably better, faster through the processes, shorter lead times and ultimately an output that can be reliably planned.

With solutions that truly fit the system, downtime can often be managed surprisingly well, quality maintained, and personnel, materials, and energy used much more efficiently. Our concepts are designed precisely for this: for measurable results. From initial assessment and analysis to implementation, which can be scaled in production without having to start from scratch each time.

As soon as machines, sensors, and data communicate meaningfully with each other, this Industry 4.0 potential emerges, making all the difference in everyday practice: processes become more transparent, deviations are detected earlier, and proactive control is possible instead of just reacting. We implement automation where manual steps waste time unnecessarily, introduce potential sources of error, or simply slow down process reliability.

To ensure that systems run reproducibly and that goals are not just on paper, robust control and regulation technology is needed.

Standardized interfaces and a clear architecture also ensure that the solution remains expandable later and can be operated in the long term without constantly having to maintain special procedures.

A clean, structured database helps to improve OEE in a targeted manner, reduce scrap, and noticeably strengthen profitability. And when robotics, handling, and testing technology are intelligently integrated, material flows become smoother, and bottlenecks are resolved systematically, not by chance.

What's important to us is practical application: We combine automation with a commissioning process that isn't just theoretically impressive, but one that works in everyday practice. It's fast, reliable, and transparent. Future-proof Industry 4.0 approaches simplify maintenance, diagnostics, and continuous optimization without burdening production with unnecessary complexity.

Whether it's a new installation or a retrofit: In the end, it's about more productivity, lower process costs, and the good feeling that operations become more predictable – not sometime in the future, but actually during ongoing operations.

Automatic splicing for uninterrupted material web guidance

This system precisely feeds different material webs and handles material changes through automatic splicing without interrupting the process. An integrated cutting and joining system connects the webs cleanly and reproducibly, ensuring continuous production even with changing materials. The specially developed dancer system guarantees a continuous material feed. This increases process reliability and supports efficient plant automation in industrial operations.

Our references at a glance

Discover our references

Request a free consultation now – we'll provide you with practical advice.

Are you planning a new plant or would you like to automate an existing process? Whether it's special-purpose machinery, plant engineering, or targeted automation solutions: We develop a solution that fits your requirements, interfaces, and target values – transparently, structurally, and with a clear focus on cost-effectiveness.

Use the contact form for a non-binding inquiry. Briefly describe your task, and we will get back to you promptly to discuss how we can sustainably improve your production with a customized machine.

Kai Marquardt

Special Machine Construction

Your questions answered quickly

Here you will find answers to the most important questions.

How does industrial automation increase productivity in manufacturing?

Industrial automation increases productivity by making processes more stable, faster, and more repeatable. Automation technology reduces manual intervention, lowers scrap through consistent process quality, and shortens cycle times through optimized motion and control sequences. Additionally, sensors and data acquisition improve transparency: malfunctions are detected earlier, and downtime is proactively avoided. In mechanical engineering automation, this results in predictable throughput times, higher plant availability, and better capacity utilization, especially for products with high product variety and increasing quality requirements.

Which automation solutions are particularly typical in mechanical engineering?

Typical solutions in process automation and assembly include automatic feeding systems, handling and robotics systems, camera-based inspection stations, and networked controllers (PLC/IPC). In mechanical engineering, subprocesses are frequently automated: from workpiece handling to screwing, dispensing, or welding, all the way to end-of-line testing. Traceability concepts and digital interfaces for Industry 4.0 are also used to systematically record quality data and process parameters. Crucially, the design must ensure stable cycle times, ease of maintenance, and safe operation.

How can automation technology be integrated into existing production facilities?

Integration begins with an inventory of the layout, interfaces, cycle times, and safety concept. The automation technology is then planned to connect existing machines, conveyor systems, and IT systems (e.g., MES/ERP) via standardized protocols and I/O concepts. Modular conversion packages, defined downtime windows, and a coordinated commissioning procedure are crucial to minimize production disruption. In practice, a phased approach has proven effective: a pilot cell, validation of process stability, followed by scaling to additional lines.

When does industrial automation become economically viable, and how is the ROI calculated?

Industrial automation becomes economically viable when the savings and added value exceed the total investment over the system's lifespan. A reliable ROI analysis considers not only personnel costs but also scrap, rework, downtime, energy, maintenance, and quality costs. Productivity gains through higher cycle rates, longer run times, and improved OEE are also factored in. Often underestimated are indirect effects such as more stable delivery performance and fewer complaints. A sound business case utilizes real production data, scenarios (actual/target), and a sensitivity analysis to make risks transparent.

How future-proof is mechanical engineering automation in the context of Industry 4.0 and scalability?

Future-proofing is achieved through modularly designed machine automation: standardized mechanical modules, reusable software components, and clearly defined interfaces. This allows for the retrofitting of new products, variants, or additional stations without redesigning the entire line. Industry 4.0-ready concepts utilize integrated data models, condition monitoring, and remote diagnostics to make maintenance more predictable and implement data-driven optimizations. Cybersecurity, spare parts strategy, and manufacturer independence for components are also crucial to ensure that expansions and modernizations remain economically viable for years to come.

The Team

Here you can find our team members.

Jens Collin

Management

Thomas Tepp

Operations Manager & Authorized Signatory

Kai Marquardt

Project Management

Michel Meinhardt

Design Management

Torben Schubert

Assembly Management

Andree Meißner

Quality Assurance

Arne Becker

Work Preparation

Robin Hordan

Production / CAM Specialist

Peter Hubrecht

Automation

Our process chain at a glance

Here you will find our process chain

1

Inquiry / Initial Contact

2

Feasibility Study / Concept Development

3

Quotation Preparation

4

Project Launch

5

Design & Development

6

Manufacturing of components

7

Programming & Control Panel Construction

8

Installation & Wiring

9

Internal commissioning

10

Delivery

11

Installation and Commissioning at the Customer's Site

12

Documentation