We know that almost all of the world's few industrial powers are taking important steps towards the so-called industry 4.0, which is characterized by digital transformation and the use of cutting-edge and disruptive technologies such as artificial intelligence (AI) and the Internet of things (IOT), especially big data.
How does big data play a role in industry 4.0?
Big data includes collecting and analyzing a large amount of data through specific software, which can convert all these initially chaotic or even chaotic information into operable and extremely useful data. The goal of big data is to use this information to predict, improve productivity and make the best organizational, operational and financial decisions.
Industry 4.0 is characterized by a truly global digital revolution in which different systems and processes are interconnected.
This super connection makes the role of big data more important and efficient, because the information from the Internet of things can be transformed into computer learning system through artificial intelligence technology.
The interconnection between systems and computers and the ability to analyze a large amount of data from various sources and objects connected to the Internet make the existence of intelligent factories possible. In other words, the intelligent production platform or center is equipped with advanced machines and has the ability of independent operation and decision-making.
In short, the contribution of big data to industry 4.0 is to provide more capacity and utility for other emerging technologies such as the Internet of things and artificial intelligence by extracting a large amount of data, organizing, analyzing and transforming it into high-value information. Achieve excellent operation and production.
Big data application in industry 4.0
Big data software processes and analyzes the collected information and draws relevant conclusions, which is helpful to improve various business operations. Complex data analysis can be used in a variety of applications, such as:
Intelligent manufacturing process; Big data allows system integration and the collection of all necessary data, making the concept of smart factory a reality. These types of plants consist of automated production plants, where machines can perform complex tasks, solve problems, and make decisions based on previous programming.
Management with suppliers; Complex data analysis allows the establishment of effective systems to improve the relationship with suppliers and take initiatives. For example, automatically arrange orders based on historical analysis of activities, results obtained and problems detected.
Enterprise resource planning; The correct use of big data enables companies to optimize their human and technical resources through complete and comprehensive visualization of processes and systems that are usually handled in an isolated manner. Considering the interrelationship between departments and activities helps to make the best decisions, from operations to human resources and even finance.
Optimize logistics and warehouse operations; Analyze the information from sensors, RFID tags and various portable devices to make the concept of intelligent warehouse a reality. The future of logistics involves increasing automation and the implementation of robotic systems, in which repetitive and arduous tasks are performed by machines, enabling operators to focus on supervision, programming and quality control functions.
Predictive maintenance; Another of the most interesting applications of big data is that the sensor nourished by data can predict the possible failure of the machine before failure. In this way, the shutdown that may lead to significant economic losses is avoided.
These are some uses of big data in the context of industry 4.0, but there are more uses, such as supply chain management, nonconformity analysis, waste treatment and sustainability or energy efficiency optimization.
Importance of big data to the future of industry 4.0
Without the full development of big data, 4.0 technology is halfway to extracting all potential value from the information from the company's database, especially the Internet of things in sensors, RFID tags and included devices.
Complex analysis of a large amount of data is the only effective way to generate predictive analysis mode, so that the machines constituting industry 4.0 can run independently and accurately. In addition, the conclusions drawn from big data constitute the first level reference for making the best business decisions. In short, it is impossible to exist without big data, and its progress and development are also impossible.
