In the fast-paced business world, adopting cutting-edge technology is crucial for businesses to maintain competitiveness. Especially in the manufacturing industry, complex process flows, quality control, and compliance standard activities often consume a significant amount of time.
The repetitive work on the production line may seem crucial for ensuring high-quality, low-cost products, but it can also make employees feel monotonous and may lead to errors and inferior products.
The introduction of advanced automation technology can change this situation. Especially when artificial intelligence (AI) is appropriately applied to manufacturing and supply chain management, its potential is enormous.
According to the 2024 IDC Global Information Brief “The Importance of Artificial Intelligence in Supply Chain and Operations,” 63% of supply chain executives and 52% of operations executives have integrated AI strategies with their business goals.
Taking business artificial intelligence like SAP Joule as an example, this generative AI assistant can seamlessly integrate into different business processes such as human resources, finance, and even supply chain. Cutting edge tools like Joule can quickly and effectively enhance new product ideas by using natural language queries, thereby helping to improve business performance.
At the factory level, commercial AI can also be applied:
1.Optimize asset maintenance:reduce maintenance costs and extend the service life of critical equipment.
2.Agile Production Planning: By integrating AI to enhance scheduling and forecasting, operational efficiency can be improved.
3.Visual inspection upgrade: Improve the product inspection process to ensure higher quality products, thereby increasing customer satisfaction.
With the help of an artificial intelligence assisted visual inspection solution that combines cameras, AI algorithms, and cloud computing, manufacturers can easily complete component defect detection with just a click of the mouse. Even the smallest flaws, such as a strand of hair or a drop of water, can be accurately captured.
When a hair or a drop of water can be detected as a defect, artificial intelligence assisted visual inspection can detect every defect without the need for additional manual control, thus bringing enormous value.
Once a defect is discovered, it only needs to be marked as defective or intact and processed accordingly, which is very different from workers taking full responsibility for inspection, greatly reducing the possibility of human error. Early detection of non conformities and making the right decisions can help companies produce high-quality products.
Automated processes greatly shorten inspection time, allowing for the production of more components in a shorter amount of time. With the support of AI, detection work can be completed in real-time, problems can be easily identified, and defects can be identified with high accuracy. It does not require additional worker control, thus reducing manual operations and saving space for more value-added and creative work.
So, innovation today is also expected to be realized within a few days. One of the main advantages of AI in manufacturing is that it does not require the installation of IT hardware on the production site, simplifying maintenance and operation.
This in turn makes the company more flexible as it can quickly switch between different models. Machine learning models can be easily trained using a few images and quickly deployed without the need for special skills, accelerating the application process of new technologies and shortening the time required to implement solutions. As for artificial intelligence assisted visual inspection, once the camera is installed, it can be used immediately.
As the reputation of manufacturers directly depends on the quality of their products, artificial intelligence has the potential to significantly improve productivity and quality by accurately identifying errors. The modern technology that keeps pace with the times provides opportunities for enterprises to reduce risks, improve customer satisfaction, and achieve growth.
This article "New paradigm of intelligent manufacturing: AI driven modern factory model" by AcloudEAR. We focus on business applications such as cloud ERP.
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