Information Security in Mechanical and Plant Engineering

Information security in data exchange and integration along the entire value chain in mechanical and plant engineering presents...

Procurement 4.0 – Purchasers as Innovation Scouts

Did you know that procurement processes have a particularly important role in a company’s digital transformation to an...

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...

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...

Real Time 101 – The Basics

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

e-works Industry 4.0 visit to SEEBURGER

The Chinese delegation from e-works visited Bretten on 1.4.2019. As part of their Industry 4.0 company visits, a...

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...

Smart Services – from passive to active (I)IoT applications

IoT applications have so far mainly been used in connection with networking and analysis of field and operational...

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...

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...

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?...

From Drivetrain to Blockchain: transparency in the automotive supply chain

Blockchain is increasingly becoming more widespread in its use outside of just the financial services industry. Providing the...

What is Digital Twin Energy Management and Why is it Important?

Disruptive technologies have taken the world by storm, and businesses have responded by undertaking digital transformation journeys in...

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...

Interoperability – a core requirement of industry 4.0

On the road towards Industry 4.0, companies modernize their IT infrastructure and the digitalization of business processes to...

Blockchain – Disruptively Positive Technology for the CPG Industry

Deloitte recently published a very interesting article entitled ‘The adoption of disruptive technologies in the consumer products industry‘....

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 IIoT and Industry 4.0?

In the (industrial) Internet of Things (I)IoT, production processes, supply chains, business processes, services and product life cycles...

Digitalization in the Manufacturing Industry

Manufacturing companies are faced with the challenge of digital change within their value chain. They continuously need to...

Trading on Hyperliquid: The Future of High-Efficiency Markets

The financial markets are undergoing a silent revolution as next-generation platforms redefine what's possible in trading execution. Trading...
  • William
  • Blog

Interoperability – a core requirement of industry 4.0

On the road towards Industry 4.0, companies modernize their IT infrastructure and the digitalization of business processes to build new data-driven services. For these services, many internal and external stakeholders must work together. A prerequisite for this is the interoperability of systems across Lines-of-Businesses and companies.

Industry 4.0 / Industrial Internet of Things changes industrial value chains

Data is the new oil, so postulated by a long-time customer of ours. This tier-1 supplier from the automotive industry focuses on the expansion of its industry 4.0 infrastructure for both internal and external scenarios.

The future of industrial production is data-driven. Thus, for the customer the product alone is no longer the key, but its functions, capabilities and additional value-added services are of paramount importance. To create a valuable customer experience in an individual and changing environment, these areas must be continuously measured, monitored and kept available. Services have to be delivered directly during the use and interaction with the product.

Integration ensures interoperability in value chains

The mining and transport of data has some challenges, but alone does not provide any added value. A high level of data quality is needed in the entire supply chain from supplier to end customer in order to derive reasonable conclusions, or to use it for further processing.

Uniform semantics of data, especially of the central reference objects for products, processes and resources are crucial. Only by combining this (master) data with machine and process data, which is increasingly available from sensors, simulations and analytics, companies can improve their decision-making, support work processes with new digital services and thus increase the quality and productivity of operational and technical processes.

Think of data-driven services for:

  • Predictive & preventive maintenance
  • Assistance and optimization
  • Change and reconfiguration of systems

These data-driven services support operational and business-critical decisions with a common ‘language’ that must be spoken and can be correctly translated into the organizational structures of the partners involved. How this ‘knowledge’ can be shared between supplier and customer users in cooperation and transformed into added-value for both sides is the focus of Industry 4.0 implementations. The consideration of this within the entire value chain with additional business partners and suppliers is still largely ignored.

VDMA Industry 4.0 Guide

In its new Industry 4.0 Guide ‘Interoperability through Standardized features’, the VDMA focuses on this connection between today’s master data standards and its use in Industry 4.0 implementations. Based on characteristics that are available in a standardized format and description, reference objects can be uniquely identified and tagged, allowing systems to understand the data correctly for further use in subsequent processes such as purchase orders, production orders or maintenance instructions.

Interoperability in value chains as a basis for data-driven services (case study from the VDMA guidelines)

Interoperability in value chains as a basis for data-driven services (case study from the VDMA guidelines)

The VDMA guideline deals with essential aspects of structuring and describes procedures for master data management and their use in the context of Industry 4.0 and supports the reader in the self-assessment of their company.

It is a big step towards a successful Industry 4.0 implementation if companies are automatically providing and exchanging their product, machine and operating data on standardized features combined with standardized transmission formats. To secure the interoperability of systems and people across Lines-of-Business and between companies, strong integration competences are needed to transform company-owned business knowledge into data-driven services with standardized formats and semantics. This is a key element towards using and offering data-driven services within B2B interactions and for connecting information, operational and engineering technology systems (IT/OT/ET) within the value creation process.

As a hybrid integration platform, the SEEBURGER Business Integration Suite enables the cross-functional and cross-company interoperability of systems, processes and things. Learn more about our services and solutions for your transformation to industry 4.0.


Source: https://blog.seeburger.com/interoperability-a-core-requirement-of-industry-4-0/

Inline Feedbacks
View all comments
guest