increasingly used in the manufacturing industry. It creates a powerful lever to help companies transform, seize opportunities and become pioneers in the field in which they operate.

So how to apply AI in the manufacturing industry? Readers, please learn some information about this very interesting topic through the following article by Ms. Uptalent!

CONTENTS:
1- What are the benefits that AI brings to the manufacturing industry?
2- Apply AI in the manufacturing industry
2.1- Automation, Robots
2.2- Intelligent software-based supply chain management
2.3- Quality control
2.4- Maintenance and failure prediction
2.5- Optimize the production process
2.6- Demand and inventory forecasting (CRM)

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1- What are the benefits that AI brings to the manufacturing industry?

AI is considered a technology that can bring exceptional development to the manufacturing industry. Here are the main benefits it can bring to this industry:

1.1- Minimize costs

The costs associated with maintaining and repairing machines represent a huge burden for manufacturing companies. Additionally, losses due to unexpected production line breakdowns also pose a headache for businesses.

By applying AI technology to production operations, companies can predict machine breakdowns and manage them quickly. This helps them significantly reduce costs associated with the production process.

1.2- Ensure product quality

Maintaining product quality under limited time conditions is always a common difficulty that manufacturing companies face. They must always try to respect the standards and regulations committed to increasingly short production times.

However, applying AI in production can help businesses achieve the highest level of product quality and ensure consistent delivery of products on time, without errors.

1.3- Improve work efficiency

AI technology allows businesses to analyze their information systems to continually improve work efficiency.

Workers will be funneled into higher-level jobs such as programming, maintenance and design. Meanwhile, robots will take on repetitive tasks.

The combination of humans and robots will be done safer and faster thanks to AI. Therefore, almost all manufacturing companies are striving to apply AI to maintain a smart and highly efficient production environment.

2- Apply AI in the manufacturing industry

Most manufacturing companies often face challenges related to costs, product quality, production control, asset management and new product development.

However, the above challenges will no longer make it difficult for them when AI technology is increasingly developed and applied to the production process.

Here are some outstanding applications of AI in the manufacturing industry:

2.1- Automation, Robots

AI technology enables companies to promote automation of the production process. Since then, production efficiency and productivity have been significantly improved.

Companies can use AI to automate certain tasks, quickly detect anomalies through continuous monitoring, create a repository of all production information, reduce the amount of resources needed to operate the factory, and easily adjust scale production according to market fluctuations.

Furthermore, AI also facilitates the introduction of robots into the production process. The advantage of robots is that they can work non-stop and it is more difficult to make mistakes than humans. They also replace humans in carrying out heavy work. Through this, production efficiency as well as safety are improved.

AI-based robots can perform repetitive tasks without the need for programming. This has led them to be considered one of the most effective applications of AI and machine learning in the manufacturing industry.

2.2- Intelligent software-based supply chain management

Artificial intelligence technology creates favorable conditions for supply chain operations. It can help businesses manage inventory, shipping and delivery more efficiently.

In addition, the application of AI to IoT sensor technology can also help companies organize and control all supply chain activities in a scientific and reasonable manner.

There are many applications of AI in supply chain management today. Such as:

Create a smooth communication channel between departments

By applying supply chain management software, manufacturing companies can connect all different departments through a single platform. This makes communication between departments extremely simple and efficient.

One of the most popular software that can do this is “USM Supply Chain Management Solutions for Manufacturing Industry”.

Warehouse management and logistics

This is the most popular application of AI in supply chain management. By using AI tools and applications, businesses can optimize warehouse management and logistics operations.

Develop autonomous vehicles

Autonomous vehicles include self-driving cars and other autonomous vehicles. This is one of the popular applications of AI to support production activities.

The use of autonomous vehicles in supply chain management can help businesses reduce their reliance on labor resources and promote increased productivity.

Manage shipping and delivery activities

Using AI systems, manufacturing companies can evaluate time, cost, and revenue factors to improve delivery efficiency.

AI allows businesses to define optimal delivery routes, manage driver performance, evaluate weather and traffic reports, and compare with previous data to predict more accurate delivery times.

2.3- Quality control

Many small defects on products are not visible to the naked eye, even if the inspector has extensive practical experience.

However, companies can use AI in product scanning camera systems to detect errors, foreign objects or incorrect specifications.

To do this, AI devices will need to collect data, absorb complete production models, and then check the products passing through the production line to see if they meet quality standards or not.

The application of AI to quality control has been used very successfully by a fish production company in Norway to check and filter good quality products. With lower quality products, companies will use them to create other products.

2.4- Maintenance and failure prediction

Machinery and equipment breakdowns can cause production to stop. This causes enormous damage to manufacturing companies.

Statistics show that manufacturing companies can lose more than £180 billion a year due to unexpected machinery problems.

With the modernity and exceptional functionality of AI artificial intelligence technology, businesses can predict errors related to factory machines and equipment. From there, they will proceed to fix it by implementing a predictive maintenance solution.

The benefit of predicting machine breakdowns and maintenance is that it can help businesses become more proactive in their maintenance plans.

The working mechanism of the predictive maintenance solution is as follows: the AI ​​system will collect machine performance information, perform analysis, provide an overall report and monitor the machine status in real time, issue warnings for machines that are not operating normally, schedule maintenance and report performance.

With AI technology, the life of factory machines is longer, and production errors caused by equipment are also effectively limited. The application of AI to predictive maintenance is currently used in many large manufacturing companies around the world.

2.5- Optimize the production process

Certain types of machines can automatically improve the efficiency of production processes if artificial intelligence technology is applied.

Specifically, AI application systems will be able to monitor quantity, production time, temperature, waiting time, technical errors and other factors to optimize production efficiency.

Initially, the AI ​​system will operate in “operator support” mode. It will run in the background and give suggestions to managers. On the other hand, AI also studies the manager’s final decision to understand human thinking, from there it will be developed in “operator replacement” mode.

According to experts, in the future, AI will give us the ability to transform data into intelligence in a volatile business environment. At that time, all machines will use the same language and production efficiency will also increase from machine to machine.

2.6- Demand and inventory forecasting (CRM)

With their analytical and predictive capabilities, AI artificial intelligence systems can accurately forecast product demand.

To make accurate predictions, AI tools will need to collect data from many different sources. Then, it will use the data obtained to make forecasts about product demand.

Additionally, the application of AI in production also helps businesses manage orders and inventory more efficiently. As stated earlier, AI and machine learning are best positioned to automate supply, demand and inventory management.

So, Ms. Uptalent has just helped readers discover the benefits of AI for the manufacturing industry and its applications in this industry. I hope this article helped you understand how AI is applied in the manufacturing industry and can apply it to your business. Good luck!

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