Showing the invisible: Using Fischertechnik Models to Make the Integration of Industrial Processes Visible

In contrast to the majority of applications, software used in data integration often doesn’t have a nice, intuitive...

B2B E-Commerce Part 4 – Intelligent Systems Integration in E-Commerce

The first part of our blog series on systems integration for e-commerce was an e-commerce 101. The second...

Real Time 101 – The Basics

IT systems are increasingly becoming more intelligent, networked and autonomous. This digital transformation not only makes a company’s...

Assembly Control with the Manufacturing Integration Bus

How can robots and other automated components of a plant be efficiently controlled in a heterogeneous IT environment...

Predictive Maintenance – Part 2: How does predictive maintenance work?

This article follows our piece on Predictive Maintenance 101 – What Is It and Where Is It Used?...

Digital Value Chains are Transforming B2B-Integration – From EDI to IDS?

Digital transformation is changing the entire value chain. Data is increasingly becoming a commodity. As data-driven business models...

OPC UA as standard for IIoT applications

OPC UA – a standard for the exchange of industrial process data with increasing importance. The SEEBURGER Business...

5G to Accelerate B2B-Integration in (I)IoT Through a Smart Farming Pilot Project

So far, we have only known concepts such as smart cities or smart regions through mainly small, specialist...

Is Your Track & Trace Solution Real-Time or a Waste of Time?

Tracking and tracing parts throughout the automotive supply chain used to be a case of ship and forget...

What is edge computing, and why is edge computing important for processing real-time data?

Edge computing is cutting-edge technology that is transforming the way we process data in digitally networked ecosystems. But...

Why Your Supply Chain Needs Real-Time Data

Progressive digitalisation has meant that we require – and expect – far more of our supply chains these...

Industrial Data Integration – Aggregation and logging of industrial process data by integration of heterogeneous data streams

The integration of the heterogeneous data streams generated in industrial processes enables the optimization of added value. Aggregation...

IIoT (Industrial IoT) and Industry 4.0 – Examples

By connecting and integrating machines and facilities with complex IT systems, IIoT and Industry 4.0 offer new possibilities...

Using Real Time Data in Smart Manufacturing

We are currently in the fourth industrial revolution, which is characterised by widespread digitalisation and connecting all manner...

Collaborative product development and data exchange in mechanical engineering and other technical industries

Globally operating companies with development and production sites distributed around the world as well as respective partner networks...

The Bullwhip Effect: Solutions to Tame the Chaos

The bullwhip effect describes a phenomenon in supply chain management. It illustrates how fluctuations in orders increase in...

Artificial Intelligence and the SEEBURGER BIS

Artificial intelligence is playing an ever greater part in our everyday lives. Intelligent systems are behind ever more...

The Bullwhip Effect: What Is It and What Causes It?

Let’s start with a question. What is the connection between a bullwhip and a supply chain? It sounds...

Data integration for collaborative assembly

Customers expect increasingly individualized products in very small quantities. In Industry 4.0, this goes all the way to...

Industry 4.0 and Lean Management – How to Manage the Chaos

Value chains are becoming increasingly complex and networked. This is not only due to globalisation, but also to...

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