The essential question of the transition to Industry 4.0 is no longer the why but rather the how. It is to respond to this that ALTEN’s Smart Factory 4.0 program is proposing to accelerate innovation in a co-creativity approach adapted to customer needs to put all artificial intelligence at the service of man.
All the more so since theof , the industry must become flexible and agile with on-demand production for increasingly personalized products. The key ? Data, in order to adapt all possible configurations, whether in terms of resources, design, logistics, quality monitoring … in “ end to end ” mode in a integrated logic from supplier to end customer. This is the whole challenge of the smart factory or factory 4.0 which relies on technologies such as IoT, the , AI, augmented reality or robotics. However, there is no question of accumulating innovations to achieve this. The program set up by ALTEN insists precisely on the use of new technologies and the associated gains in the integration of these solutions into an existing environment, often not conducive to changes.
The fourth industrial revolution for the benefit of man
The concept of industry 4.0 appeared at the beginning of the years 2010. It corresponds to the fourth industrial revolution after that of mechanization, electrification and then automation. Today, it is therefore that of digitization with the contribution ofbut “ which must benefit that of humans, to provide them with all the information useful for forecasting and decision-making, of which they remain in control ”, specifies François Portier, Director of the Research Program Smart Factory 4.0 for ALTEN. In 2021, it is no longer a question of choice: those who will not take this turn will lose a lot of ground on the competitors. Especially since this 4.0 revolution integrates the challenges of for a greener factory, a green factory which optimizes its energy resources and generated for zero or even positive environmental impact.
The gray matter and black gold of data
ALTEN’s innovation department has therefore set up the “ Smart Factory 4.0″ program. For this, it has forged partnerships with startups, large companies, research laboratories and schools. “ Our wealth is our organic matter, nitrogenous matter, etc.
There are different families such as:
Organic matter, which constitutes living beings (animals or plants ) orand the black gold of data, the fuel of the digital economy. starts with a good analysis of the client’s needs and context. We then rely on a network of experts grouped together within Labs on innovative solutions “, explains François Portier. The approach was chosen by “Test and learn” to make co-creativity a reality thanks to proactive ideation loops on projects before validating them using POC ( Proof of Concept ), POV ( Proof of Value) and MVP ( Minium Viable Product ).
9 Smart Factory 4.0 projects
The nine projects of the program address the technological challenges of the transformation of Industry 4.0:
- the (with gains of 20 to 30% on the );
- intelligence management of ;
- distributed intelligence of AGVs ( Autonomous Guided Vehicles );
- the digital twin of the processes of the factory of the future;
- the digital twin of the internal logistics of the factory of the future;
- robotics: universal gripper ;
- digital continuity for additive manufacturing;
- the prediction of professionals;
- the converge nce of production and business management networks.
In prospective mode, a digital twin, a digital twin, allows for example to model projects with ramp-up to make them viable according to indicators such as OQD ( on quality delivery ) and OTD ( on time delivery ) without impact on production . Of course, theis omnipresent at all project levels.
The adaptation of new technologies to the existing
According to François Portier, “ the earlier it is started, the more effective the transformation will be. The hardest part is getting started and ensuring the change is carried out ”. It is for this reason that ALTEN relies on adapting new technologies to existing ones so as not to have to make excessive investments and promote gradual adoption. “ We are progressing little by little, first on a defined perimeter which makes it possible to measure the impact and the gains before gradually expanding it. ”Advice is also given on financial aid opportunities , in particular of the state when the project allows in particular to gain in.
The example of ‘an AI solution in edge computing
A striking example concerns a major player in the aeronautics sector. For the drill bits used on very expensive parts, the wear or the slightest failure of which can therefore have significant consequences, ALTEN called on a technology developed by the, recently acquired by . The solution called NanoEdge AI Studio makes it possible to incorporate an AI and its functionalities directly into the C code of the microcontroller present in the device. In a few hours, it processes millions of combinations to define the optimal one and thus be able to detect the slightest . The solution tested on a production line was won over by its efficiency to the point that it will be deployed in all of the company’s factories.
If you want to go to the moon , you have to go to Houston first!
According to Joël Rubino, director of Edge AI – STMicroelectronics, “ the
The Moon with a capital “L” is the only natural satellite of the Earth; it was probably the result of a collision 4.4 years ago , you need to first go to Houston! ”
Article produced in partnership with ALTEN