Looking forward to the next stage of smart factories: the development direction of Industry 5.0

Industry 5.0 is built on the foundation of Industry 4.0 technology, but it emphasizes sustainability and human-machine collaboration

Automakers are currently working to achieve smart operations Many of the measures taken will help drive further improvements in the future. While the benefits of digitalization and Industry 4.0 have been discussed for many years, interest in Industry 5.0 is growing.

Industry 5.0 goes beyond Industry 4.0 as it shifts the focus from economic value to broader concepts of social value, such as sustainability and reduced energy use, and well-being, such as keeping workers safe in complex manufacturing environments, including Using automation systems and robotics

Based on Industry 4.0

In order to fully understand Industry 5.0, it is necessary to summarize the methods and goals of Industry 4.0.

The goal of Industry 4.0 is to bring a high level of digitalization to the manufacturing industry. Typical jobs include and integrate a wide range of technologies such as the Internet of Things, digital twins, robotics, automation, data sharing, complex analytics and the increasing use of artificial intelligence and machine learning

These technologies are designed to Increase productivity and efficiency through virtualization (e.g. digital twins of work cells, production lines and factories) and automation, reducing human intervention in processes. For this approach to work, there must be a high level of integration and communication between machines and systems. This enables various elements in a manufacturing operation to make decisions independently without the intervention of human operators.

Industry 5.0 ups the ante

Industry 5.0 builds on the technologies of Industry 4.0, but emphasizes collaboration between humans and machines. Some say the goal is to create a balance between automation and leveraging human insights in operations. In other words, it aims to create the best environment in the world by offloading routine tasks from workers through automation. But using the expertise of workers on the production line, processes and operations can be refined and improved in real time.

To this point, there are many examples in manufacturing and other industries where human insights combined can improve outcomes. Take, for example, the field of modern meteorology. Similar to how manufacturing uses IoT, analytics, modeling, and more, forecasting is based on collecting massive amounts of weather data from around the world. This data is absorbed into complex models that produce predictions.

Many operations involving aviation, transportation, logistics, event planning and other industries are based on these forecasts. But those seeking a competitive edge hire their own meteorologists, who take charge of model output and refine forecasts. In some cases, meteorologists may fine-tune forecasts based on knowledge of a specific area. In other cases, they may know something the model does well or misses and refine predictions based on those insights.

Skilled auto manufacturing workers can use their expertise to do similar things to amplify the benefits of factory automation.

Sustainable Development Aspects of Industry 5.0

In addition, Industry 5.0 will take sustainable development to a new level and emphasize the social and environmental responsibility of manufacturing

In the current market environment, regulators, shareholders and customers all have expectations and demands for sustainable development. By adopting smart manufacturing strategies and introducing appropriate technologies, automakers can solve these problems and bring about improvements in operational efficiency, revenue growth, cost reduction, etc.

To address sustainability issues, manufacturers This must be done in a coordinated, integrated and formal manner rather than in an uncoordinated ad hoc manner (which is so common). Therefore, there is a need for end-to-end scenario planning and strategic analysis, rather than just focusing on the sustainability aspects of a certain operational element, such as waste reduction in production, fuel economy of vehicles, etc. Once the correct strategies, smart technology comes into play. Smart manufacturers can collect relevant data to measure sustainability-related parameters. Data can be aggregated, analyzed, shared and reported to all stakeholders.

Key information provided in this way helps establish a baseline and can be used to identify areas for improvement. This approach is exactly the same game plan that the car manufacturer followed in its initial digitalization and Industry 4.0 projects. In both cases (i.e., shifting focus to sustainability and digitizing operations), manufacturers starting down a sustainability path can use this information to identify the use cases and scenarios that will have the greatest impact, and then prioritize those things class.

Social Well-Being Aspects of Industry 5.0

When it comes to Industry 5.0, the main concern is sustainability. But Industry 5.0 aims and can achieve much more than that. As mentioned above, one aspect where Industry 5.0 is expected to play an important role is in improving the well-being of workers.

The use of automated systems and robots is a prime example of how to address worker safety issues in complex manufacturing environments

For years, automakers have been using robots on production lines to perform repetitive tasks Work. Some robots perform dangerous jobs, while others perform tasks that would tire human operators.

From the perspective of Industry 4.0, the focus of robotics is to improve operational efficiency. Through the digital twin technology of the robot system, the smooth operation of the entire work cell or production line can be guaranteed. At the same time, simulation technology can also help ensure safe operating conditions

Industry 5.0 expands this type of work to find ways for robotic systems to collaborate with human workers. Therefore, Industry 5.0 does not look for robotic systems with limited functionality or that are isolated for safety reasons, but rather for ways in which robotic systems and humans can work together. Such collaborative robots, as some call them, will amplify the benefits of robotic systems by imparting the operational knowledge of human workers to processes.

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