Automation in Industry 4.0
Industry 4.0 automation enables automatic learning, commissioning and operation, minimizing human intervention and optimizing production.
We are experiencing a new industrial revolution in forms of production. This is not only due to mechanization, but also because information and control systems are capable of handling complex machines and processes much more efficiently and cost-effectively than humans. These systems are known as Industry 4.0 automation.
Automation technology 4.0, through IIoT ('Industrial Internet of Things') connects, controls and monitors a network of utilities, equipment, machines, industrial robots and cloud information in real time (via 'Cloud Monitoring'). In this way, it allows them to learn, operate and operate automatically, minimizing human intervention and optimizing production.
For automated production to reach its full value, it must be implemented as a comprehensive solution that includes all company processes, making it possible for information to pass through all parts of the company. .
The added value of automation in Industry 4.0 is no longer focused solely on its efficiency and profitability, but on increasing flexibility and greatly improving the quality of production processes, significantly reducing tell the margin of error of the task. Digital Twins monitor the lifecycle of the process, implementing virtual models as the basis for making sound decisions. In processes where error rates can be as high as 10% when the work is done by humans, a process automation platform can reduce that rate by up to 0.00001%.
![]()
- Cost-effective:
Reducing labor costs, automating parts of the process that don't require human judgment to fuel human creativity in acquiring new skills and activities as needed. In addition, virtual and/or augmented reality technologies facilitate the learning process and improve effective organizational models.
- Competitive advantage:
Standardize and automatically redesign procedures, making them continuous and accurate, available 24/7. As a result, productivity, capacity and process quality are increased, with reduced inaccuracies and downtime costs.
- Scalability and flexibility:
Adding or changing tasks requires training of operators, while robots and equipment are reconfigurable and can be precisely programmed within a tight timeframe, thereby reducing down time. process implementation and feedback.
- Reduced time:
Reduce information processing time. Platforms that automate operations have a large capacity to store and manage data obtained from processes.
- Maximum safety:
Production lines may assign machines or robots to hazardous jobs that pose a high risk to employees. In addition, enhanced comprehensive security controls can be implemented for devices, components, people, and systems. Cybersecurity is one of the essential technologies to protect the privacy of companies.
- Improved control:
These types of processes are tracked and documented, creating 'Big Data'; valuable information to identify patterns, improve processes, and make changes to prevent future events. In addition, process optimization opens the door to 'force sourcing'. This centralization of infrastructure improves data quality and consistency and leads to analytics improvements.
While automation 4.0 has great potential for companies, it is important to recognize and evaluate the challenges posed by this new business model:
- Investment and infrastructure:
Adapting existing infrastructure to new infrastructure can be a major challenge for companies, who will have to invest large sums of money and in many cases have access to financing. Get the necessary infrastructure and decide which solution will be most profitable.
- Strategy plan:
Transformation doesn't just depend on investment in machinery and hardware, it takes time, mindset shifts, intelligent analysis, and detailed strategy to maximize execution and raise capital. private.
- Human factors:
Smart devices are no longer work tools but have become a smart workforce, so millions of jobs are predicted to be lost due to automation. Therefore, society and large businesses should encourage ongoing training for workers to develop the right digital skills that complement this new type of industry.
While most companies globally have yet to develop a comprehensive strategy for entering Industry 4.0, the truth is that there is already a more advanced boom: Industry 5.0. It focuses on personalization, immediate customer service, and integration between humans and 'cobots'.
The aim is to achieve a blend of technological development and people, with the main goal being that people and machines complement their operations, rather than humans being replaced. In this groundbreaking approach, to achieve a smart society, education needs to change its traditional approach. Everyone must be trained and qualified to be active in this new social model.
Related Posts:
What is Industry 4.0 Automation and how does it work?
Automation technology 4.0, through IIoT ('Industrial Internet of Things') connects, controls and monitors a network of utilities, equipment, machines, industrial robots and cloud information in real time (via 'Cloud Monitoring'). In this way, it allows them to learn, operate and operate automatically, minimizing human intervention and optimizing production.
The role of automation in Industry 4.0
For automated production to reach its full value, it must be implemented as a comprehensive solution that includes all company processes, making it possible for information to pass through all parts of the company. .
The added value of automation in Industry 4.0 is no longer focused solely on its efficiency and profitability, but on increasing flexibility and greatly improving the quality of production processes, significantly reducing tell the margin of error of the task. Digital Twins monitor the lifecycle of the process, implementing virtual models as the basis for making sound decisions. In processes where error rates can be as high as 10% when the work is done by humans, a process automation platform can reduce that rate by up to 0.00001%.
Advantages of automation in Industry 4.0
- Cost-effective:
Reducing labor costs, automating parts of the process that don't require human judgment to fuel human creativity in acquiring new skills and activities as needed. In addition, virtual and/or augmented reality technologies facilitate the learning process and improve effective organizational models.
- Competitive advantage:
Standardize and automatically redesign procedures, making them continuous and accurate, available 24/7. As a result, productivity, capacity and process quality are increased, with reduced inaccuracies and downtime costs.
- Scalability and flexibility:
Adding or changing tasks requires training of operators, while robots and equipment are reconfigurable and can be precisely programmed within a tight timeframe, thereby reducing down time. process implementation and feedback.
- Reduced time:
Reduce information processing time. Platforms that automate operations have a large capacity to store and manage data obtained from processes.
- Maximum safety:
Production lines may assign machines or robots to hazardous jobs that pose a high risk to employees. In addition, enhanced comprehensive security controls can be implemented for devices, components, people, and systems. Cybersecurity is one of the essential technologies to protect the privacy of companies.
- Improved control:
These types of processes are tracked and documented, creating 'Big Data'; valuable information to identify patterns, improve processes, and make changes to prevent future events. In addition, process optimization opens the door to 'force sourcing'. This centralization of infrastructure improves data quality and consistency and leads to analytics improvements.
Automation challenges in Industry 4.0
While automation 4.0 has great potential for companies, it is important to recognize and evaluate the challenges posed by this new business model:
- Investment and infrastructure:
Adapting existing infrastructure to new infrastructure can be a major challenge for companies, who will have to invest large sums of money and in many cases have access to financing. Get the necessary infrastructure and decide which solution will be most profitable.
- Strategy plan:
Transformation doesn't just depend on investment in machinery and hardware, it takes time, mindset shifts, intelligent analysis, and detailed strategy to maximize execution and raise capital. private.
- Human factors:
Smart devices are no longer work tools but have become a smart workforce, so millions of jobs are predicted to be lost due to automation. Therefore, society and large businesses should encourage ongoing training for workers to develop the right digital skills that complement this new type of industry.
The future of Industry 4.0
While most companies globally have yet to develop a comprehensive strategy for entering Industry 4.0, the truth is that there is already a more advanced boom: Industry 5.0. It focuses on personalization, immediate customer service, and integration between humans and 'cobots'.
The aim is to achieve a blend of technological development and people, with the main goal being that people and machines complement their operations, rather than humans being replaced. In this groundbreaking approach, to achieve a smart society, education needs to change its traditional approach. Everyone must be trained and qualified to be active in this new social model.
Related Posts:
- Special grain conveyor system in food processing
- How to choose the best conveyor system for fragile materials
- What is Conveyor Belt Connector and popular effective methods today
