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...

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...

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 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...

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...

IoT Challenges and Industry 4.0

The opportunities that IIoT and Industry 4.0 solutions offer for businesses are manifold. However, there are a number...

Artificial Intelligence and the SEEBURGER BIS

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

Big Data, IoT and SEEBURGER

What do bread rolls and big data have in common? Data is generated in masses – even in...

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...

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‘....

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...

Цифровые близнецы энергосистем: интеллектуальное будущее электроэнергетики

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

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...

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...

OPC UA as standard for IIoT applications

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

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?...

Why Your Supply Chain Needs Real-Time Data

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

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...

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...
  • William
  • Blog

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 data for the purpose of more ‘passive’ monitoring. The integration of data-driven smart services into already digitalized operational processes has great potential to create direct added value through ‘active’ decision support and control.

What are Smart Services?

Due to the availability of large amounts of data and the possibility to use it for specific purposes, such as the analysis or improvement of certain processes, digital (smart) services can be offered via the Internet. Such digital services are known from online shops, for example, when personalised recommendations or individualised advertising banners are displayed based on the available data.

The German National Academy of Science and Engineering acatech defines Smart Services as ‘packages of products, services and features individually configured via the Internet, tailored to the preferences of private and commercial users in a needs-based and situation-specific ‘as a service’ manner. Digital platforms play a central role: This is where products and services are mapped virtually, combined, enhanced with additional digital services and offered as Smart Services’.[1]

Transferred to industrial applications, these services extend or improve existing functions for product services. They can thus be used as a basis for decisions on optimising, controlling or adapting individual processes (at customers).

Smart Services create direct added value

Smart Services pose major challenges for IT

Internally, IT is required to provide new functions that meet the current requirements of digitalization. This already starts with new systems that enable agile transparent work in the form of enterprise social networks. In the future, this ‘agility’ and ‘transparency’ will also require access to data from other systems and applications involved, right down to resources and ecosystems. This requires a general strengthening of the IT infrastructure, so that both large amounts of data from different data sources can be processed, suitable data analyses can be carried out and all data and information can be made available to all departments in a context-specific manner.

Without end-to-end data and process integration mechanisms, the development and deployment of smart services is difficult to achieve.

The cross-enterprise provision of expertise on data-driven services poses an even greater challenge, particularly in terms of securing data sovereignty on the one hand and interoperability on the other. Here, ways are sought for a suitable depth of representation and for standards as to how this can be guaranteed, at least between companies and for individual sectors, without endangering the core competence of the company which is worth protecting and vital to its existence.

For many companies, offering digital services as a business model to the outside world is emerging as a promising way of retaining customers. This can be done via APIs (Application Programming Interfaces), for example, but this requires professional API management to control access and use of the interfaces. The consumption of digital services can also be managed in this way, which is important from the user’s point of view with regard to further internal integration. These type of Smart Services offer interesting opportunities for companies in the B2B sector, both from the customer and the supplier perspective.

For Smart Services the IT infrastructure must be built up

Implementation of Smart Service projects still under construction

Overall, the structures are not yet sufficiently mature for broad B2B use. Although most companies are in the process of setting up the infrastructure and introducing new systems such as IoT platforms, the interaction of these, for example with business applications, is only just being implemented. According to an IDC study on the status of industrial IoT in Germany, of the IT and technical decision-makers from 258 organisations, around 42% have already implemented IoT projects or are in a concrete pilot phase, and a further 47% are planning and evaluating them. Here the focus is still primarily on classic, internal optimisation.

For this reason, the available services today are rather limited to aspects of monitoring with a reduced view of available data. But, as the study also makes clear, many are already thinking one step ahead and also want to attract new customers (27%) and improve the customer experience with new, data-based services (26%).

New B2B-integrated Smart Services

Especially for export-oriented German companies, smart services offer a high economic value to deepen customer relations and to transfer the accustomed quality standards of tangible goods to the digital world. The Federal Government continues to see a need to provide even more targeted support for research and development in the area of smart services in the B2B sector, despite the large funding programmes that have already been implemented, such as the ‘Smart Service World’, which has been in place since 2013. For example, the BMBF recently placed a special focus on ‘Internet-based services for complex products, production processes and plants (smart services)’ in its specialist programme ‘Innovations for the production, services and work of tomorrow’. The SEAMLESS joint project was launched in February 2020 with the participation of SEEBURGER. This will explore and develop new ways of seamlessly providing SME-friendly, Internet and simulation-based after-sales services. These are to be made available later in service units that can be called up, used and paid for separately via a platform. Machine manufacturers and users should thus be enabled to use simulations that meet their needs without having to acquire expertise themselves. Using the technology of augmented reality, data is fed to the service staff in real time via corresponding, specially prepared content, in order to create measurable added value in the processes of operational optimization, maintenance and conversion. Many of these initiatives and results will help to spark the still rather restrained momentum in the use of new active (I)IoT applications.

[1] https://en.acatech.de/project/digitale-serviceplattformen-erfolgskriterien-fur-die-smart-service-welt/


Source: https://blog.seeburger.com/smart-services-from-passive-to-active-iiot-applications/

Inline Feedbacks
View all comments
guest