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EMO Hannover 2019 positions new business models based on intelligent networking

DMG MORI
EMO Hannover 2019 positions new business models based on intelligent networking

EMO Hannover

Lantek Sheet Metal Solutions

EMO Hannover 2019 positions new business models based on intelligent networking

The EMO Hannover 2019, the world’s

premier trade fair for the metalworking industry, will be held from 16 to

21 September under the motto of “Smart technologies driving tomorrow’s

production”. It will thus be concentrating on the current paradigm shift in

industrial production operations, which are no longer focusing (only) on

“better, faster, more accurate”, but on the development and implementation

of new functions within the framework of Industry 4.0. Digitalisation and

intelligent networking in conjunction with numerous new developments, from

Big Data, data analytics and artificial intelligence, all the way through

to the platform economy, create the foundations for new business models, so

that customers and vendors can reach a new level of productivity.



“The last EMO Hannover had already shown that Industry 4.0 has arrived in

the machine tool industry,” says Carl Martin Welcker, General Commissioner

of the EMO Hannover 2019. “As the world’s leading innovation platform, we

are progressing this trend by focusing on the next development step in

production operations: the technical options opened up by digitalisation

and networking, which are being increasingly reflected in new business

models,” he adds. “This doesn’t mean that in future we shall no longer be

working on optimising machines and processes in the traditional way. I am,

however, confident that quantum leaps forward in terms of productivity,

quality and reliability will be triggered primarily by the new

technologies. So in 2019 we will be seeing an abundance of solutions that

implement new services for the machine tool industry’s customers.”



Rendering data intelligently usable

For new business models on a broad front, first of all the immense

quantities of data generated by digitalisation and networking of machines

and processes have to be reduced to a usable level. Because only if you can

extract the relevant data (Smart Data) from the superabundance of Big Data

can you derive an entrepreneurial benefit from Industry 4.0. Last year,

scientists at the German Academic Society for Production Engineering (WGP)

in their position paper on Industry 4.0 had already published an action

guide, and shown how Big Data can be rendered manageable using the data

mining method, for example. Besides this guide, the professors at the WGP

contribute their state-of-the-art expertise to other bilateral arrangements

between the industrial sector and the academic community. Not least, they

utilise the EMO Hannover in order to showcase for a global public the

projects they are conducting together with industrial partners.



Utilising artificial intelligence

In recent years, artificial intelligence (AI) has achieved some amazing

breakthroughs. One of its capabilities, machine learning, enables machines

and processes to optimise themselves with the aid of Smart Data. They

detect patterns in data flows, and derive the appropriately responsive

actions. The system learns from every situation.



Artificial intelligence has already arrived in our everyday reality. To

ensure that the mechanical engineering sector also benefits from this, the

VDMA has published a study entitled “Machine Learning 2030”, which is

intended as a kind of roadmap. The recommendations for companies,

politicians and researchers are currently being firmed up and implemented

in a VDMA working group. It’s now only a question of time before this

futuristic scenario, too, arrives in the factories. The automotive

industry, for example, is already making massive use of artificial

intelligence, and entering into appropriate alliances. This is adequately

exemplified by the cooperative arrangement between Mercedes-Benz and the

graphics-chip manufacturer Nvidia. Together, they are aiming to put an

AI-based vehicle on the road in the next few years. For machine tool

manufacturers, too, artificial intelligence offers an abundance of

potential.



Utilising new economic structures

There is fresh evidence almost daily that the use of Industry 4.0 is

helping to develop new economic structures. More and more platforms are

being created, on which manufacturers and service providers can support

their customers from a single source using a product-themed approach. So

machine tool manufacturers, too, will be well advised to seize the

opportunity and take this trend on board. Because the trend towards a

platform economy is unmistakeable, as current studies show.



There are already some examples here, like Virtual Fort Knox, a Cloud-IT

platform for production companies created by the Fraunhofer Institute for

Manufacturing Engineering and Automation (IPA) in Stuttgart. “It functions

as an IT backbone for Industry 4.0 solutions, and networks production

companies with software vendors and machinery manufacturers. But IT

companies, control system and machinery manufacturers will also be offering

their solutions.



“We are seeing how new technologies are influencing and even driving

forward developments in the machine tool industry,” says General

Commissioner Carl Martin Welcker. “By September 2019, numerous specific

solutions will be available on the market. I can say this with confidence,

since many EMO exhibitors will be using this international shop window, in

order to showcase their corporate capabilities and enhance their profiles.”

Industry 4.0, he adds, creates new customer needs, to which machinery

manufacturers must respond in order to remain competitive. Companies that

are quick to embrace this new form of economy can not only utilise the

trend for new business ideas, but also get actively involved in designing

the platforms concerned. Interested parties will once again find

inspiration and specific examples of innovative solutions in Hanover in

September 2019.

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