Industry 4.0 is the fusion of the real world with the virtual world. This digital revolution is marked by technology that leverages Big Data and Artificial Intelligence (AI) to feed machine learning systems. Manufacturers in today’s market seek to achieve business intelligence through the collection, analysis, and sharing of data across all key functional domains in order to achieve manufacturing excellence.
In this article, we will explore how data collection and processing technologies can help your business become 4.0, enabling process automation and optimization .
We will highlight how the use of Big Data can benefit your industry and explore the impacts and applications of new technologies in various areas of business.
The importance and use of data in the manufacturing sector
Industry 4.0 has found the perfect marriage with Big Data for a new escalation of process improvements, from the shop floor to strategic decision-making. Follow some practical examples of the use of strategic data in industry.
Focus on the end customer
With sensors spread throughout your manufacturing equipment and processes, you can modify production parameters in real time to meet changes in demand. With data on sales, product usage, and new trends, new item development reflects what the market expects much more accurately.
Preventive maintenance
With the Internet of Things, robots and systems act not only to maintain quality in manufacturing, but also to ensure that equipment and maintenance protocols occur outside of peak production hours.
On-demand training
Because data on machine usage is collected, specific croatia whatsapp data training can be delivered on demand to employees, whether for new people or to guide employees who showed poor performance in a particular operation.
Real-time decisions
Managers have access to a variety of up-to-date markets, production lines, and administrative and financial results. This enables real-time decision making based on the most relevant indicators.
The impact of Big Data on Industry 4.0
The digital transformation that is underway in companies shows that there is room for more efficient use of physical, financial and information resources . This scenario favors products and services to be more competitive in Brazil and around the world. Here are some numbers expected for the coming years.
Cost reduction of up to 73 billion per year
This will happen for several reasons. There will be numerous opportunities to optimize equipment, reduce costs and time spent on equipment maintenance, as well as save money on reporting and data on processes.
Efficiency increases of up to 34 billion per year
Big Data will generate a wealth of data that is analyzed and presented in real time to the board of directors and employees. This process enables more effective management and allows the company to change direction more quickly and efficiently.
Reduction of maintenance costs by up to 31 billion per year
Using Big Data, robots and sensors will know which routines to maintain on each machine, will be able to predict the correct usage time before each maintenance and identify problems much faster. All of this can generate large-scale economies.
Energy savings of up to 7 billion per year
The most effective and efficient use of machinery will bring about significant energy savings. Processes will be constantly analysed through Big Data to identify opportunities for improvement , focusing on reducing energy expenditure.
The main applications in Industry 4.0
Thanks to the scenario we outlined in the previous topic, there will be a reduction in costs, improvements in productivity, control over the production process and greater customization of production for a profound transformation in manufacturing plants.
The impact will be exponential, as it will allow for a better fusion between the real, virtual and biological worlds. Read below for some of the main technological applications:
Additive manufacturing (or 3D printing): possibility of creating multiple objects prepared for a specific fit or function within the production line;
Artificial Intelligence: simulate the human ability to reason, make decisions, solve problems, develop software and robots with the ability to automate various processes;
Internet of Things : Represents the possibility of machines being connected to the Internet to perform a specific action in a coordinated manner. Example: autonomous cars that communicate to define the best time to make a journey;
Synthetic biology: bringing together new technologies in the areas of chemistry, biology and computer engineering that enable the development of new biological parts, such as proteins, cells, drawings and mapping of biological systems;
Cyber-physical systems: These are the fusion between the physical and digital worlds. A virtual model is created for each plant equipment and production line process, allowing for the simulation of various scenarios with greater precision.