What is Industry 4.0?

THE FOURTH INDUSTRIAL REVOLUTION, ALSO KNOWN AS INDUSTRY 4.0, IS CHANGING THE WAY BUSINESSES OPERATE AND THEREFORE THE ENVIRONMENTS IN WHICH THEY ARE FORCED TO COMPETE.

THE FOURTH INDUSTRIAL REVOLUTION, ALSO KNOWN AS INDUSTRY 4.0, IS CHANGING THE WAY BUSINESSES OPERATE AND THEREFORE THE ENVIRONMENTS IN WHICH THEY ARE FORCED TO COMPETE. Industry 4.0 holds the promise of a new revolution that combines advanced production techniques and operations with intelligent technologies which will be integrated into organizations, people and assets. It is important to understand the potential of this fourth industrial revolution because it will not only affect manufacturing processes. Its scope is much broader, affecting all industries and sectors and even society. Industry 4.0 can improve business operations and revenue growth by transforming products, supply chain and customer expectations. Such a revolution is likely to change the way we do things, but it will also affect how customers interact with them and the experiences they expect to have while interacting with companies. Beyond that, it should lead to changes in the workforce, requiring new skills and roles. This revolution is marked by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. Organizations must identify the technologies that best meet their needs in order to invest in them. If companies do not understand the changes and opportunities that Industry 4.0 brings, they run the risk of losing market share.

THE SECTORS MOST AFFECTED BY THE DIGITAL TRANSFORMATION ARE:
MANUFACTURING

Human-machine collaborative working environments.

TRANSPORT

Management of vehicle fleets that transport goods or people through a pre-designed route.

HEALTH

Improvement in the management of the health system or greater precision in diagnostics and operations.

AGRICULTURE, LIVESTOCK, MINING

Use of drones to control humidity, chemical components of the soil or air…

Tyris.ai in the industry 4.0

TYRIS. AI IS THE RESULT OF THE EVOLUTION OF TYRIS-SOFTWARE TOWARDS THE SECTOR OF THE INDUSTRY, SECTOR THAT ALLOWS US TO APPLY OUR KNOWLEDGE IN MACHINE LEARNING AND ANALYSIS OF DATA LEARNED DURING THE 5 YEARS THAT WE HAVE BEEN WORKING.

The Valencian company Tyris AI, has managed to make a place for itself as a provider of technological services for multinational companies. Specialized in Artificial Intelligence and Predictive Analytics for Industry, it has recently received the Innovation Award 2018, granted by the construction company Sacyr and the Ministry of Science and Innovation.

01

AUTOMOTIVE

The automotive sector has always experienced the greatest implementation of advanced analytical technologies and industrial data integration systems.

That is why from Tyris AI, we have specialized in Predictive Maintenance systems, Optimization of the Supply Chain, or simulation of changes in production and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

01

AUTOMOTIVE

The automotive sector has always experienced the greatest implementation of advanced analytical technologies and industrial data integration systems.

That is why from Tyris AI, we have specialized in Predictive Maintenance systems, Optimization of the Supply Chain, or simulation of changes in production and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

01

AUTOMOTIVE

The automotive sector has always experienced the greatest implementation of advanced analytical technologies and industrial data integration systems.

That is why from Tyris AI, we have specialized in Predictive Maintenance systems, Optimization of the Supply Chain, or simulation of changes in production and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

datos 4.0

Datos 4.0

Datos 4.0

130.000

millions of euros

The implementation of industry 4.0 will lead to an increase in revenue in terms of productivity of some 130 billion euros, starting in 2023.

millions of euros

The implementation of industry 4.0 will lead to an increase in revenue in terms of productivity of some 130 billion euros, starting in 2023.

millions of euros

The implementation of industry 4.0 will lead to an increase in revenue in terms of productivity of some 130 billion euros, starting in 2023.

7%

mejora del rendimiento

El sector de la automoción “es el más entusiasta” en la industria 4.0. Los objetivos y las inversiones en este ámbito son más ambiciosas que en el resto de sectores..

mejora del rendimiento

El sector de la automoción “es el más entusiasta” en la industria 4.0. Los objetivos y las inversiones en este ámbito son más ambiciosas que en el resto de sectores.

mejora del rendimiento

El sector de la automoción “es el más entusiasta” en la industria 4.0. Los objetivos y las inversiones en este ámbito son más ambiciosas que en el resto de sectores..

24%

plantas inteligentes

Si se mantuviera la tendencia que apunta el informe, el 24% de las plantas serían inteligentes en 2022

plantas inteligentes

Si se mantuviera la tendencia que apunta el informe, el 24% de las plantas serían inteligentes en 2022

plantas inteligentes

Si se mantuviera la tendencia que apunta el informe, el 24% de las plantas serían inteligentes en 2022

INDUSTRIA AUTOMOCIÓN

02

CONSTRUCTION

At Tyris AI we are already working on several predictive analytics projects for the construction sector.

That is why Tyris AI has specialized in Predictive Maintenance systems, Supply Chain Optimization, or simulation of production changes and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

02

CONSTRUCCIÓN

At Tyris AI we are already working on several predictive analytics projects for the construction sector.

That is why Tyris AI has specialized in Predictive Maintenance systems, Supply Chain Optimization, or simulation of production changes and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

02

CONSTRUCTION

At Tyris AI we are already working on several predictive analytics projects for the construction sector.

That is why Tyris AI has specialized in Predictive Maintenance systems, Supply Chain Optimization, or simulation of production changes and new models in the automotive sector. For this reason we are approved suppliers of large customers in the sector as SEAT and we have engineers with extensive experience.

datos 4.0

Datos 4.0

Datos 4.0

25%

energy efficiency goal

The EC estimates that in order to achieve the 25% energy efficiency set in the 2030 objectives, an investment of around 2,000 million euros per year will be needed, which will generate savings of around 9,000 million euros.

energy efficiency goal

The EC estimates that in order to achieve the 25% energy efficiency set in the 2030 objectives, an investment of around 2,000 million euros per year will be needed, which will generate savings of around 9,000 million euros..

energy efficiency goal

The EC estimates that in order to achieve the 25% energy efficiency set in the 2030 objectives, an investment of around 2,000 million euros per year will be needed, which will generate savings of around 9,000 million euros.

-33%

cost of the asset life cycle

Electronic modeling and construction information tools will reduce the life cycle cost of assets by 33% and increase exports by another 50%.

cost of the asset life cycle

Electronic modeling and construction information tools will reduce the life cycle cost of assets by 33% and increase exports by another 50%.

cost of the asset life cycle

Electronic modeling and construction information tools will reduce the life cycle cost of assets by 33% and increase exports by another 50%.

50%

building period and greenhouse effect

These tools will reduce the construction period by 50% and greenhouse gas emissions by another 50%.

building period and greenhouse effect

These tools will reduce the construction period by 50% and greenhouse gas emissions by another 50%.

building period and greenhouse effect

These tools will reduce the construction period by 50% and greenhouse gas emissions by another 50%.

03

METAL AND STEEL

One of the industrial sectors in which the use of machine learning techniques is becoming more and more common is the Metal and Steel industry.

However, a great deal of effort continues to be invested in identifying the relationships between operating conditions and the quality of the final product. For this reason, these industries are particularly susceptible to quality inspection systems due to critical processes such as moulding and straightening facilities.

03

METAL AND STEEL

One of the industrial sectors in which the use of machine learning techniques is becoming more and more common is the Metal and Steel industry.

However, a great deal of effort continues to be invested in identifying the relationships between operating conditions and the quality of the final product. For this reason, these industries are particularly susceptible to quality inspection systems due to critical processes such as moulding and straightening facilities.

03

METAL AND STEEL

One of the industrial sectors in which the use of machine learning techniques is becoming more and more common is the Metal and Steel industry.

However, a great deal of effort continues to be invested in identifying the relationships between operating conditions and the quality of the final product. For this reason, these industries are particularly susceptible to quality inspection systems due to critical processes such as moulding and straightening facilities.

datos 4.0

Datos 4.0

Datos 4.0

25%

increased production

More flexible and modular production through automation technology equipment.

increased production

More flexible and modular production through automation technology equipment

increased production

More flexible and modular production through automation technology equipment

-45%

idle times

Greater margin of reaction to demand, adapting both production volumes and variety of customized products.

idle times

Greater margin of reaction to demand, adapting both production volumes and variety of customized products.

idle times

Greater margin of reaction to demand, adapting both production volumes and variety of customized products..

13,5

million tons

Crude steel production in Spain last year stood at 13.6 million tonnes, 8.5% lower than in 2015.

million tons

Crude steel production in Spain last year stood at 13.6 million tonnes, 8.5% lower than in 2015..

million tons

Crude steel production in Spain last year stood at 13.6 million tonnes, 8.5% lower than in 2015..

foto siderurgia

04

AGRO-FOOD

In agriculture, Big Data and Machine Learning technologies allow to monitor the state of the crops in real time as well as the management and control that the farmer has over it.

In Tyris AI we are able to measure key indicators through the network of IoT sensors deployed in the fields and process the data obtained in addition to data from weather stations and databases of Phytosanitary Alerts.
At the production floor, predictive maintenance systems are able to reduce and even eliminate unplanned production downtime by identifying future machine failures before they occur.

04

AGRO-FOOD

In agriculture, Big Data and Machine Learning technologies allow to monitor the state of the crops in real time as well as the management and control that the farmer has over it.

In Tyris AI we are able to measure key indicators through the network of IoT sensors deployed in the fields and process the data obtained in addition to data from weather stations and databases of Phytosanitary Alerts.
At the production floor, predictive maintenance systems are able to reduce and even eliminate unplanned production downtime by identifying future machine failures before they occur.

04

AGRO-FOOD

In agriculture, Big Data and Machine Learning technologies allow to monitor the state of the crops in real time as well as the management and control that the farmer has over it.

In Tyris AI we are able to measure key indicators through the network of IoT sensors deployed in the fields and process the data obtained in addition to data from weather stations and databases of Phytosanitary Alerts.
At the production floor, predictive maintenance systems are able to reduce and even eliminate unplanned production downtime by identifying future machine failures before they occur.

datos 4.0

Datos 4.0

Datos 4.0

40%

savings through energy efficiency control

Digitization allows savings both by replacing equipment and by managing the operation of the same around 40% of the total.

savings through energy efficiency control

Digitization allows savings both by replacing equipment and by managing the operation of the same around 40% of the total..

savings through energy efficiency control

Digitization allows savings both by replacing equipment and by managing the operation of the same around 40% of the total.

15%

savings in facilities management

Efforts aimed at facility management are the most efficient, leading to savings of 15% in annual energy costs.

savings in facilities management

Efforts aimed at facility management are the most efficient, leading to savings of 15% in annual energy costs.

savings in facilities management

Efforts aimed at facility management are the most efficient, leading to savings of 15% in annual energy costs.

2050

changes for the year 2050

The global population will increase and it is estimated that it will be around 10,000 million people, with half of the available resources that we have to date.

changes for the year 2050

The global population will increase and it is estimated that it will be around 10,000 million people, with half of the available resources that we have to date..

changes for the year 2050

The global population will increase and it is estimated that it will be around 10,000 million people, with half of the available resources that we have to date..

foto agroalimentacion
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