What is Industry 4.0?
The Fourth Industrial Revolution has arrived with what is known as Industry 4.0, a new way of operating for businesses, which have seen a change in the environments in which they compete.
Definition: what is Industry 4.0?
The first time the term Industry 4.0 was used was at the Hannover Fair in 2011, the most important global industrial fair.
The concept was used with the intention of starting the path towards a project that would carry out the conception and development of the smart factory.
It would be a factory associated with the Fourth Industrial Revolution, which meant computerized production, with an interconnection between all its processes. All this making use of the Internet of Things (IoT), more well known today as the Industrial Internet of Things (IIoT).
The term Industry 4.0 encompasses many purposes and concepts. However, early advancements involve integrating greater flexibility and individualization into manufacturing processes.
Industry 4.0 Goals
Industry 4.0 holds promise: to drive a new revolution that combines advanced production techniques and procedures with smart technologies. All this to be incorporated into companies, people and assets.
This revolution is defined by the emergence of new technologies. Among other:
- The robotic.
- The advanced analytics of Industry 4.0.
- Cognitive technologies.
- Artificial intelligence (AI).
- Nanotechnology.
- The internet of things (IoT).
Due to these changes, organizations have a duty to identify those technologies that best meet their needs in order to invest in them. In addition, they must undertake the changes required in their facilities in order to adapt them.
In the case of opting for external services, the management of comprehensive installations by Cimelsa is carried out using the latest available technology. With this they manage to increase the precision of their work and guarantee their clients a professional service, as well as adapted to the current characteristics and needs of the industry.
Importance of Industry 4.0
Digitally incorporating information from different sources and locations allows doing business in a continuous cycle.
As that cycle unfolds, the constant flow of information and actions between the physical and digital worlds drives real-time access to information.
This occurs through a few iterative steps:
- Physical world – Digital world. Information is obtained from the first and a digital record of that information is made.
- Digital – Digital. Information is shared and interpreted thanks to advanced Industry 4.0 analytics, as well as scenario analysis and AI, in order to discover relevant information.
- Digital world – Physical world. The decisions of the digital world are translated into effective data thanks to algorithms, while actions and changes within the physical world are stimulated.
Thanks to Industry 4.0, the operations of industrial businesses improve, as well as their income. This also enables the transformation of products, the supply chain itself and, of course, customer expectations.
Furthermore, new technologies linked to Industry 4.0 can lead to novel goods and services.
Technologies that are driving Industry 4.0
Among the technologies that are helping Industry 4.0 reach its maximum development, are those that follow.
Cloud Computing
It is the basis for any strategy in Industry 4.0 because it allows connectivity and integration of services, production, engineering, supply chain, sales and distribution.
It also makes it possible to store and analyze a large amount of data, which is processed more easily, something really valuable in industrial maintenance processes.
Internet of Things (IoT)
It is a fundamental mechanism in smart factories. Machines in production plants in the industrial sector are equipped with sensors that have an IP address. This allows them to connect with other web-ready devices.
Artificial intelligence and machine learning
Some industrial machines have a tendency to break down during certain production processes. Well, the use of the collected data will help the facilities to perform predictive maintenance based on machine learning algorithms. This will increase uptime as well as efficiency.
Cybersecurity
Companies in the industrial sector have not always taken into account the importance of cybersecurity. However, the great connectivity of the equipment in the 4.0 factories that allows for much more efficient production processes, also exposes new access routes for cyber attacks. Therefore, its protection is essential.
Digital twin
Advanced analytics is one of the applications included in Industry 4.0 that has the most travel, use and impact in the short term.
This is mainly due to:
The possibility of having information throughout the value chain.
Increased storage capacities.
New ways to analyze and process data.
All this means that multiple utilities of advanced analytics continue to emerge, which generate relevant impacts on the processes of the industrial sector.
Its applications in industry can be classified into predictive, descriptive and prescriptive analytics.
In addition to these, it also greatly favors the optimization of certain activities, such as optimization of planning, product design, predictive maintenance, etc.
But more than important, the need for the use of advanced analytics is becoming fundamental. Within each industrial sector there are applications of it with a lot of projection. For example:
In the pharmaceutical or biotechnology industry for process optimization and predictive quality.
In the chemical industry for the identification of anomalies, maintenance and predictive quality and optimization of processes.
In the metallurgical industry for visualization, predictive maintenance and production control.
For the automotive industry, this analytic stands out in advanced planners and in process optimization.
What is advanced analytics in Industry 4.0?
Advanced analytics is one of the applications included in Industry 4.0 that has the most travel, use and impact in the short term.
This is mainly due to:
- The possibility of having information throughout the value chain.
- Increased storage capacities.
- New ways to analyze and process data.
All this means that multiple utilities of advanced analytics continue to emerge, which generate relevant impacts on the processes of the industrial sector.
Its applications in industry can be classified into predictive, descriptive and prescriptive analytics.
In addition to these, it also greatly favors the optimization of certain activities, such as optimization of planning, product design, predictive maintenance, etc.
But more than important, the need for the use of advanced analytics is becoming fundamental. Within each industrial sector there are applications of it with a lot of projection. For example:
- In the pharmaceutical or biotechnology industry for process optimization and predictive quality.
- In the chemical industry for the identification of anomalies, maintenance and predictive quality and optimization of processes.
- In the metallurgical industry for visualization, predictive maintenance and production control.
- For the automotive industry, this analytic stands out in advanced planners and in process optimization.
Industrial maintenance in Industry 4.0
Industrial maintenance has undergone many technological transformations over the years. Especially considering that, in the beginning, it was only considered as those corrective tasks to solve existing faults.
Over time, preventive and predictive maintenance has gained weight due to its many benefits. The main one: anticipating failure by guaranteeing the continued efficiency of the assets.
There are different types of industrial maintenance (corrective, preventive, predictive, in use, zero hours and early). However, of all of them, the one that has the most relevance within Industry 4.0 is predictive.
The concepts of Industry 4.0, Big Data, IIoT and predictive maintenance are closely related.
This is because predictive maintenance relies on the monitoring of machinery in order to optimize maintenance tasks. And when it comes to data collection and analysis, we are in the best industrial age.
Predictive maintenance in industry 4.0
The real challenge of the 4.0 revolution is discovering the ways to interconnect the processes that exist. For this, technology is used as a connector for machines, equipment, operations and people. And, thanks to 4.0 technologies, industrial maintenance is much easier when it comes to controlling and carrying out activities.
In industrial maintenance 4.0, thanks to the new connected technologies, machines are used to collect the status of the equipment, instead of resorting to specialized employees in that area. That is, it is as if the data were looking for people and not the other way around.
Predictive maintenance has found in its development within Industry 4.0 many benefits in equipment monitoring systems. Among them:
- Self-diagnostic systems are becoming more appreciated and trusted.
- Cloud Computing systems and, therefore, SaaS services, are better accepted and applied, as they are perfectly adapted to the needs of the industrial sector today.
- There is a large body of data, but it is easier to turn it into information.
- In fact, thanks to this data on the current or predicted state of the assets, the industry has a greater awareness about the possibility of optimizing the operations and the maintenance of the same.
- Until relatively recently, a manufacturer’s sensor was only compatible with its own measurement, analysis, and recording system. Fortunately,
- Industry 4.0 has brought with it the need to find compatibility between systems.
Benefits of predictive maintenance in Industry 4.0
The predictive maintenance of Industry 4.0 within the industrial sector brings numerous benefits:
- Accompany the investment and increase the profitability of the equipment.
- Overcome certain communication boundaries.
- Increase the reliability of the equipment by precisely determining the risk of failure and its impact on the system. For this, Big Data and AI are great allies.
- Get to clarify with great accuracy the useful life of the equipment.
- It manages to boost organizations in the market.
The challenges of industry 4.0
Some of the challenges Industry 4.0 faces are:
- The need for continuous development of software and analysis systems that do not cause computer failures.
- Adapt the productive infrastructures to the requirements of the new industry. Fact that with companies like Cimelsa, experts in comprehensive installations, it is much easier.
- The protection of data located in the cloud.
- Know how to respond to current questions about natural resource management and energy saving.
Even so, Industry 4.0 has a great future and is going to produce important changes when it comes to activities in smart factories. Especially in aspects such as robot-assisted production, data analysis, quality control, and predictive maintenance of machines.
Each organization in the industrial sector must be aware of the technological needs and adaptations that it must apply. If they fail to understand the changes and opportunities that Industry 4.0 brings, they may see their market share reduced.
In addition, as has been seen, not betting on innovation in these technologies can cause your own maintenance department to lose strength and responsiveness.
Of course, betting on external companies to carry out installations or industrial maintenance, such as Cimelsa, is to have the security that the necessary tasks will be carried out with the most avant-garde technologies in the sector.














