How Does AI Integrate with Manufacturing Industry?
Trend

How Does AI Integrate with Manufacturing Industry?

Improving production efficiency is the foundation for the manufacturing industry to gain a firm foothold. The manufacturing industry achieves smart operations by introducing AI applications, automatically identifying abnormalities, or making adjustment suggestions, and assisting companies in achieving more accurate adjustments to machines and upgrading equipment. During the process, the traditional manufacturers are transformed into the smart manufacturers.
Published: Mar 16, 2023
How Does AI Integrate with Manufacturing Industry?

What Is AI in Manufacturing?

AI, or Artificial Intelligence is a combination of data from sensors, machines, and people and apply the data to algorithms designed to optimize operations or achieve better efficiency. Since big data and AI give Industry 4.0 a huge boost, artificial intelligence in manufacturing is the trend of the manufacturing industry.

There are many positive impacts on artificial intelligence in manufacturing, such as optimizing production processes, safer working environments, demand forecasting, product innovation, simplified supply chains, predictive maintenance, and customized manufacturing. AI in manufacturing aims to increase efficiency by enhancing manufacturing processes in monitoring every stage of the production cycle; for examples, lead times and quantities used. Engaged in smart manufacturing and transformed into a smart manufacturer are important now.

Since the outbreak of the global epidemic in 2020, manufacturers around the world have been affected by the current situation of broken production chains brought about by the epidemic, and enterprises have been affected by the epidemic, making uncertainty a new market practice. In addition to the impact of the epidemic on the international market, the manufacturing industry is undergoing a large-scale digital transformation. In recent years, small customized orders from customers and changes in the international situation have prompted manufacturers to find more flexible production solutions in pursuit of the epidemic. Smart manufacturing solutions that can still respond quickly. In the face of uncertainty, companies need to control all information such as production capacity, yield, supply chain scheduling, and product mix in real-time to respond quickly. Back to the most basic technology, that is, relying on data analysis to predict risks and needs, and then make decisions.

The manufacturing industry gradually attaches importance to and introduces related equipment and technology for data collection and analysis, and installs sensors to collect data on the machines to perform monitoring and data collection and analysis. As the demand for AI to pre-process data and use it on the ground grows, AIoT (Artificial Intelligence of Things) applications that combine the concepts of AI and IoT are gradually being widely used in the manufacturing industry.

Various large cloud companies have developed and launched their AIoT products, refined data processing technology, and reduced the size of machine learning models by as much as 80%, allowing complex models that used to consume a lot of storage space to be executed in a smaller memory storage space. Assist manufacturers with tens of thousands of data items to greatly reduce the cost of cloud storage and computing. In addition to processing quantitative data, new AI entrepreneurs also aim at contract text data that need to be managed under increasingly stringent laws and regulations, such as text analysis of documents such as bidding, contracts, and technology, and key information such as terms, locations, units, and personnel. Wait for the information to be extracted and assist manufacturers to master relevant laws and regulations.

Overall, whether it is qualitative or quantitative data processing, most new entrepreneurs in manufacturing data processing are highly automated data processing services, allowing companies that do not originally have professional data scientists to deal with important but cumbersome data. The data processing link of the company is handled by automated AI software services. The enterprise only needs to use a simple operation interface to enter the data analysis application stage of obtaining value for the enterprise.

Manufacturers import AI-related technologies, in addition to hoping to properly use their data for analysis, but also hope that AI has a basis for knowledge inheritance and future development in the empirical application of AI. In addition to building a large database of related manufacturing industries, accumulating suitable models of various industries on the platform, and completing testing and introduction is also the trend of AI services in the international manufacturing industry. In terms of manufacturing AI models across multiple industries, a large amount of manufacturing maintenance data from multiple industries is used to provide a variety of trained industrial AI models, and then the empirical application direction is adjusted according to needs. Overall, the manufacturing industry combines AI technology applications, many individual industry AI model sharing, and detailed model review services, which are all new trends in manufacturing AI. From the perspective of future AI application import trends, companies have begun to shift from production efficiency to operation-oriented AI applications, and from the past single-point testing to multi-point horizontal expansion. The manufacturing and retail industries have also shifted AI investment to logistics and warehousing to accelerate organizational efficiencies, such as warehouse automation, inventory forecasting, and delivery automation. On the other hand, information security is also an area that is increasingly developed and valued.

In the manufacturing industry, in addition to the traditional automatic optical inspection (AOI), the application of AI visual recognition-assisted inspection technology has gradually improved. Under the development goal of improving quality, AI has many application services in the improvement of production processes, but many production processes still rely on manual execution, so the first task is to apply AI to the improvement of manual work processes. The main goal of enterprises to introduce AI is to no longer prioritize traditional cost reduction, but instead regard improving organizational efficiency and increasing new sources of income as their top priorities.

What to Expect the Future of AI Technology?

In the face of the uncertainty of the post-epidemic era and the continuous changes in the global market, AI innovation aims at the key pain points of the manufacturing industry entering AI applications, and will provide corresponding services more comprehensive and in-depth, and provide quality data analysis. Including qualitative data file regulations, quantitative data equipment, and machines and other data processing services, laying the foundation for business analysis for manufacturers; and empirically subdividing manufacturing industries, providing AI model management services with specific industry knowledge, allowing AI Not only can pass on knowledge within the enterprise, but also can use the functions of AI applications in other industries; in addition, the AI services in the manufacturing industry are not limited to virtual data analysis, and use AI vision to analyze personnel movements, placement positions, and action timing services. And ultimately will be fed back to the physical person to operate, thereby assisting manufacturers to improve the overall production efficiency.

Published by Mar 16, 2023 Source :udn

Further reading

You might also be interested in ...

Headline
Trend
Low-Carbon Production and Global Climate Change
Countries are actively developing heavy industries, manufacturing, and infrastructure to drive market growth, but they often pay environmental costs accordingly. Approximately 70% of global greenhouse gas emissions come from infrastructure construction and operations, such as power plants, buildings, and transportation. What will be the effect of promoting society's emphasis on low-carbon manufacturing?
Headline
Trend
Growing Factors of the Global Cloud Server Market
The cloud server market is a cloud infrastructure service that allows service providers and end-users to use virtual networks to build architectures.
Headline
Trend
Face Recognition Technology Has Improved in Digital Age
Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are topics that have been frequently discussed recently. These technologies are used in many fields, including the financial industry, logistics industry, business analysis, unmanned vehicles, computer vision, natural language processing, etc., and have spread in every corner of life.
Headline
Trend
Global Market Trend of Smart Lock Industry
In recent years, smart door lock technology has developed rapidly. As an important part of smart home access control, the smart lock market will grow substantially in the next few years.
Headline
Trend
The Developments of Optical Instrument and Equipment Manufacturing Industry
The optical industry is still the mainstream product sector in consumer electronics, and there is still a lot of room for innovation. Since smartphones are equipped with optical lenses, from the rear to the front, and from single-lens to multi-lens, hardware innovation not only facilitates consumers to take photos and videos but also directly drives the vigorous development of the optical industry.
Headline
Trend
The Developments of Optoelectronic Materials and Components Manufacturing
The optoelectronic material and component manufacturing industry is a branch of the electronic component manufacturing industry. It is a high-tech and capital-intensive industry. Components manufactured with optoelectronic technology or equipment with optoelectronic components as key components are all parts of the optoelectronics industry.
Headline
Trend
What Happen to the Market Demands of Medicine and Medical after Epidemic?
Due to the increases in demands for epidemic related drugs, screening reagents, and other products driven by the epidemic, the output values of drugs, medical supplies, and other related products have been increased.
Headline
Trend
Evolvolution of Smart Logistics Equipment
Industrial automation has been a common trend in global industrial development. With the rapid development of technology and the complexity of product manufacturing, how to optimize the production efficiency of a factory through intelligent management and corresponding equipment supporting to achieve an intelligent factory and flexible manufacturing production is the latest direction in the development of the automation industry.
Headline
Trend
2023 Technology and Data Storage Trend Forecast
The innovative development of technology and storage in 2023, including multi-cloud, will tend to be localized in 2023, cloud service providers will face more transparency requirements, heat-assisted magnetic recording (HAMR) technology will become more popular, etc.
Headline
Trend
Sustainable Fashion and Digital Innovation Trends in the Textile Industry
The digitalization of the textile industry, which is highly connected with the consumer market, is the general trend. In particular, the digitalization of the supply chain such as 3D simulation technology can greatly simplify and speed up the product development and production process, and at the same time achieve the reduction of manpower, which promotes fashion and textiles. Industry players are all vigorously promoting digital transformation, and the recent digital development of the textile industry has mostly focused on issues such as sustainable fashion, circular economy, and digital innovation.
Headline
Trend
What is PCIe? The Features of PCIe 6.0 and the Specifications of PCIe 7.0
PCIe is a standard interface for connecting PC components, such as graphics cards or storage devices, and is used in a wide range of devices, from embedded systems, handheld devices, industrial applications, and servers to supercomputers, etc. For consumers, upgrading the advantage of the later PCIe is that it can support faster memory.
Headline
Trend
Is Green Building A Future Coexists with The Environment, or Is It the Evolution Direction of Contemporary Engineering?
Buildings are the largest consumers of energy in the world. Under the crisis of global warming, the development of "green buildings" is an urgent part of the energy-saving and carbon-reduction consensus of all countries. The main concept of green building is "sustainable development", and each stage needs to conform to the principle of environmental friendliness. The birth of green building is actually closely related to the environmental protection issue that the whole world is paying attention to.
Agree