As the business environment becomes more competitive and customers become stronger and more demanding, manufacturers need to expand everything in their processes. This includes a series of supply, acquisition of building materials, engineering, order fulfilment, design, and order management.
Artificial intelligence (AI) has proven to be the best way to build value in production through automation and to simplify the entire production ecosystem. It has become so useful that industries rely heavily on machinery, eliminating the need for human labour in some areas. This is an excellent development, although much is expected to happen as technology advances.
More than 60% of manufacturing companies have already adopted AI technology to increase efficiency, reduce downtime, and deliver high-quality products that meet different customer needs.
According to Global AI in Manufacturing Market Trends, the market is expected to reach $ 16.7 billion by 2026, registering a CAGR of 57.2% at the time of forecasting.
Here, we have put together the top 4 ways AI can change the manufacturing industry that will shape the industry in the near future.
Safety in workplace
As the epidemic continues to wreak havoc on the workplace, the need for measures to improve occupational safety has increased dramatically. AI can be used to identify employees, monitor temperature, monitor sewage in the workplace, or use it to track contacts and monitor employee interaction. AI can also be used to monitor the condition or condition of equipment and detect potential problems before they occur.
This limits the number of mechanical breaks that can result in death. These technologies have led to solutions to workplace accidents such as trips, falls, and slips, leading to better health workers and uninterrupted work.
Quality products attract customers. That is why manufacturing companies strive to ensure that the products produced are of the highest quality. However, some errors in the products are too small to be detected by the naked eye or by conventional methods, even by experienced quality inspectors.
With AI-enabled cameras installed on the machines, even minor errors in the products can be detected more accurately. Machine learning and vision will track errors in the production line, detect their imperfections, mark them, and send pictures to human experts for recommendations or corrections before sending them to the customer.
Security is an important factor in any business, including manufacturing. However, the high-security costs and associated inefficiencies are a problem companies are trying to solve. Hiring live protection teams is often expensive, and people can sometimes leave facilities at risk.
Advances in AI allow companies to leverage technology by installing advanced cameras and building management systems that effectively control buildings 24/7. These systems detect strange activities and movements such as theft, shooting, delivery of vehicles, and the arrival of tourists in an efficient and low-cost manner.
It allows businesses to see problems in the machine with high accuracy and recommend correction. Instead of waiting until the machines stop working for repairs to be done, the predictable repair capabilities enabled by machine learning point to problems that predict problems. This prevents periods of inactivity and accidents that occur due to mechanical defects.
The devices are connected to a sensor and an advanced mathematical system to identify problems and respond to alerts. AI analyses data, draws conclusions about the state of machinery, and predicts the need for maintenance on a particular machine long before it fails completely.
Many companies such as LG, Siemens, and Roland Busch currently use predictable correction.
Artificial Intelligence empowers production processes in major ways. Change your performance, improve product quality, and reduce costs with AI.
Going forward, manufacturing companies will incorporate more AI and ML technology as sensors into their machines to help people perform better in their workplaces. This will increase innovation while at the same time improving efficiency and accuracy in operation. AI in the manufacturing industry will be a boom if successfully implemented.