Everybody talks about industry 4.0 nowadays. In this article, we will examine what industry 4.0 really is and what causes it to emerge.

What is Industry 4.0?

Industry 4.0 is the fourth Industrial Revolution. Let's stop here! You can ask, "Why didn't we hear about industry 1.0, 2.0 and 3.0," and you're right. There was no such classification retrospectively until the concept of "Industry 4.0" emerged. Industry 4.0 together with the previous industrial revolues were defined as follows; Mechanization (Industry 1.0), mass production (Industry 2.0) and Automation (Industry 3.0).

At the point we came to industry 4.0 using technologies such as "IoT (Internet of Objects)" aims to jump in the industry and start the new industrial Revolution. Industry 4.0 technologies have the potential to create extraordinary growth opportunities and competitive advantages for production facilities. It is estimated that enterprises can increase their productivity by about 30 percent by switching to industry 4.0.

Example success Story

With more than 350 machines and more than 700 employees, BROSSOCKS has achieved a 30% increase in productivity by switching to the VOLSOFT Industry 4.0 solutions.
Details

Live production tracking

Design principles of Industry 4.0

Structure of Industry 4.0

Industry 4.0 consists of many technologies such as autonomous robots, simulation, inter-systems integration, Internet of objects (IoT), BigData (Big Data Analysis), Cloud (Cloud computing), 3D printers and cyber security.

The two concepts in understanding the process have key significance: cloud computing and the IoT. Cloud computing is the work of many servers connected to the Internet to perform the same task. Allows remote access to services, applications, and stored data. The IoT uses the cloud and automates the processes of Internet-compatible cars, remote machine management and intelligent monitoring. Industry 4.0 uses both cloud computing and IoT to retrieve data that is managed by people and machines and transported to the cloud.

How will the machines communicate?

Rapid changes in information and communication technologies have lifted the boundaries between virtual reality and the real world. The idea behind industry 4.0 is to create a social network where machines can communicate with each other and with people. Examine the MQTT protocol

Smart machines can share information with each other, just like people do on online social networks. It can be organised and interoperable by itself to coordinate processes. This makes production more flexible and efficient. In addition, these machines communicate directly with the IT systems in the company. This ensures uninterrupted flow of information to areas such as sales or development.
All this paves the way for facilities to integrate the real world into the virtual world and machines collect, analyse, and even make decisions based on live data.

Global plants

In industry 4.0, the only place where machines share data with each other is not the production site. The machines of a company are also linked to supplier and customer systems. This allows them to react independently to any situations that occur. If a supplier cannot deliver the ordered material, the machines will analyze the capacity utilization and costs of the alternative suppliers in real time and automatically order them.

In smart factories, people still play a critical role in the production process. As increased operators, they are controlling and monitoring the production line in the production network. It-based help systems, such as data glasses, can show the operator a real factory (through augmented reality) in almost one. These assistance systems can also be adjusted according to the individual abilities and needs of staff members and offer the potential to extend the time of age to the workforce.

Live production tracking

The workforce of the future

Industry 4.0 has a lot to do with revenues, investments and technological developments, but employment still remains one of the most mysterious aspects of the new industrial Revolution. It's even harder to determine or estimate potential employment rates.
What kind of new jobs will it bring? What does a smart factory worker need to compete in such a changing environment? Will such changes ruin many workers? These are all questions that apply to an average employee.

Industry 4.0 may be the pinnacle of technological advancement in the manufacturing industry, but the machines seem to have taken over the industry as if. Therefore, it is important to further analyse this approach in order to achieve results on future Labour values. This will help today's workers prepare for a future that is not so far away.
Given the nature of the industry, the major data analysis will bring new jobs, robot specialists and major mechanical engineers. There is a study to determine the types of business that industry 4.0 has released or will require more labour.

Here are some important changes that may affect employment characteristics:

  • Quality control based on Big data: Engineering quality control aims to reduce the inevitable diversity between products. Quality control is largely dependent on statistical methods to indicate whether a particular feature of a product (such as size or weight) can be thought of as a mold. Of course, such a process depends largely on the collection of real-time or historical data related to the product. However, as the industry 4.0 will rely on large data for this, the need for quality control officers is reduced. On the other hand, the demand for big data specialists will increase.

  • Robot-Assisted production: The entire foundation of the new industry is based on smart devices that can interact with the environment. This means that workers who help in production (such as packaging) will be replaced with smart devices equipped with cameras, sensors and actuators that can identify the product and make the necessary changes for it. As a result, the demand for such workers will be reduced and replaced by "Robot Coordinators".

  • Self-driving vehicles: one of the most important focal points of optimisation is transport. Engineers use linear programming methods for transportation. However, with the help of self-controlled vehicles and large data, many drives are dismissed. In addition, having self-controlled tools permits unrestricted working hours and higher service usage.

  • Production line simulation: While the need for transport optimization is decreasing, industry engineers (often employees on optimization and simulation) will increase the need to simulate manufacturing lines. Having the technology of simulating production lines before installation will open up work for expert mechanical engineers in the industrial field.

  • Predictive maintenance: Having smart devices allows manufacturers to anticipate failures. Smart machines will be able to sustain themselves independently. As a result, the number of traditional maintenance technicians will be dropped and replaced by more technically informed technicians.

  • Machines as a service: The new industry will also allow manufacturers to sell a machine as a service. This means that instead of selling the entire machine to the customer, it establishes and maintains the machine while utilizing the services provided by the client. This will improve maintenance work and require an expansion in sales.

Result

Industry 4.0 is definitely a revolutionary approach in manufacturing techniques. The concept will push all the producers to a new level of optimization and efficiency. Not only that, it also comes with new personalized products that have never been found before. Plus, the economic gains from industry 4.0 are enormous.
However, there are many difficulties that need to be addressed systematically to ensure a seamless transition. This situation should be in the focus of large corporations and governments. Research and experiments in such areas are mandatory.
Although speculation about confidentiality, security and employment is needed more research, the overall picture promises hope. In the industry, this kind of approach is truly revolutionaries.