Industrial Internet of Things in the 5G Era: Transforming Manufacturing Communications and Real-Time Operations

The convergence of fifth-generation wireless technology with Industrial Internet of Things represents a paradigm shift that fundamentally redefines...

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...

Real Time 101 – The Basics

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

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...

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...

Why Your Supply Chain Needs Real-Time Data

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

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...

Why Integration Platforms are the Central Hub for Smart Services

Smart Services are becoming more and more important throughout the entire product life cycle of mechanical engineering. As...

Predictive Maintenance – Part 1: Predictive Maintenance 101 – What Is It and Where Is It Used?

Sooner or later, components in constant use start to wear out. You need to repair or replace them...

Communication Standards in IoT and IIoT

For seamless communication between applications, devices and machines and with corporate IT systems, a uniform communication basis is...

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...

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...

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...

OPC UA as standard for IIoT applications

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

Цифровые близнецы энергосистем: интеллектуальное будущее электроэнергетики

Современные энергосистемы сталкиваются с беспрецедентными вызовами: рост доли возобновляемых источников, усложнение сетевой топологии, необходимость обеспечения устойчивости к киберугрозам....

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...

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...

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...

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...
  • William
  • Blog

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 are becoming more prevalent, we are seeing an increasing number of fully-digital value chains. In some cases, these are full networks, requiring new forms of B2B integration. Is digital value creation moving away from the classic EDI (Electronic Data Interchange) to IDS (International Data Spaces)?

B2B integration along a traditional value chain

B2B Integration through EDI (Electronic Data Interchange) has always been about increasing the productivity of a value chain. Originating in the automotive industry, call off orders and just-in-time / just-in-sequence (JIT/JIS) processes have since become established in many other industries.

The work of the Efficient Consumer Response (ECR) community has helped streamline processes for consumer packaged goods (CPG). Techniques such as continuous replenishment, where goods are automatically re-ordered based on actual sales, or cross-docking, just wouldn’t be possible without EDI. But EDI has always been about optimising value chains for physical goods.

There is still ample potential to expand the use of EDI in supply chains, such as implementing ECR approaches, for customer services or for tracking orders across end-to-end supply and production chains. Other areas, such as e-invoicing, are also finally becoming more widespread.

Digitalisation and B2B integration: the new digital value chain

The increasing digitalisation of all areas of our work and private lives has made digitalisation a hot topic. However, the technical discussions of whether processes are more efficient if set up as XML, over an API, with block chain technology or through classic EDI tend to be in the background. From a business perspective, the discussion at the forefront is how digitalisation and networked objects (Internet of Things – IoT), is changing how items are being bought and used, and the effect this has on how a company’s processes need to be set up and run.

Data and data-driven smart services play a key role in the above. Data needs to flow between objects, people and companies, while still adhering to ethics relating to fair competition, self-determination and social equity.

Digital value chains or networks are just not possible without efficient, effective B2B integration.

Read more in our post
Interoperability – a core requirement of industry 4.0

Mainstays of a digital value chain

IoT and Industry 4.0 are oft-cited buzzwords which have encroached into the real business world. In the automotive industry at present, kick-started by the OEMs, there are new platforms springing up to network digital twins with their own resources and the resources needed along the entire production and supply chains. These digital twins are part of the data infrastructure for smart services and enable analysis in real time as well as direct access to systems and optimisation through the use of AI (Artificial Intelligence). Each of the OEM’s suppliers can become a part of these smart services, or set up their own digital services.

One challenge for the supplier is to demarcate the data flows to and from their various customers and suppliers. This is a particularly pertinent issue if smart services need to be used or offered within a multi-cloud strategy.

Figure 1: The digital value chain (partly based on https://www.eclass.eu/fileadmin/pdfs/2_11-30_Otto.pdf slide 14)

Most of these approaches require or involve building large platforms based on the infrastructure and services of hyper-scalers such as AWS, Microsoft, Google or Alibaba. Inevitably, this creates concentration points such smart phone operating systems (iOS, Android), or those we know from e-commerce, like Amazon. This is not considered a suitable model for B2B integration. The GAIA-X initiative is a European attempt to create an open, federal data infrastructure without these previously inevitable concentrations. The hope is that GAIA-X will become a mainstay of the digital value chain. Alongside suitable forms of IT infrastructure for decentralised and distributed data processing (edge cloud infrastructure), at the heart of the GAIA-X approach are open, federated data structures with transparency in how services are provided and used. This envisages creating and using data spaces to exchange data along the principles of the international data spaces (IDS).

Among great political interest and extremely broad industry support, many projects such as the Catena-X network (german only) and the FENIX network are working on developing the essential mechanisms and instruments that will significantly shape the B2B process for smart services.

Extending B2B integration to digital value chains

Data and process integration needs to be consistent and interoperable all the way along the chain, down to the individual apps and the micro services running on edge devices.

Initially, this can be done by calling on individual services (APIs or apps) supported by International Data Spaces (IDS), which are then integrated into an organisation’s in-house IT system. This is then followed by integrating external elements and providing your own services either with, or for your business partners.

In all of this, the importance of hybrid integration platforms is going to increase significantly, particularly for application-neutral business integration. These will enable individual objects down to small sensors to be networked over all levels of the IT/OT infrastructure (cloud/fog/edge computing).

A holistic B2B integration approach is crucial for companies to be able to secure and transform internal to external communication, i.e. the harmonious interaction from EDI to IDS, in order to remain an active player in the digital value chain.


Source: https://blog.seeburger.com/digital-value-chains-are-transforming-b2b-integration-from-edi-to-ids/

Inline Feedbacks
View all comments
guest