Artificial Intelligence In Manufacturing Industry Examples – Artificial intelligence has brought a new generation of technology: Robotics 2.0. The main challenge is the transition from the self-management process to the real education. Faced with the challenge to innovate in AI robots, how will Taiwan’s best manufacturing industry seize the opportunity?
AI Robots are artificial devices operating in the global environment. Changes in the work of robots and AI, make companies change from traditional automation methods used in production, to methods using autonomous learning. Beyond the robot’s ability to solve today’s tasks, robots can now also respond to changes in input from people and the environment.
Artificial Intelligence In Manufacturing Industry Examples
According to a recent report published by the International Federation of Robotics (IFR), global shipments of commercial robotic arms are set for 2018, reaching 384,000 units. Among the importing countries, China is the largest market (accounting for 35%), followed by Japan and the United States. Taiwan ranks sixth in the world.
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Automobile manufacturing and electronics are still the largest industries for the arms industry, accounting for about 60%, which is higher than other industries such as steel, plastics, and food. drink.
Due to the limitations of traditional robots and computer automation, now, except for the automotive and electronics industry, almost no warehouse, agriculture, and other industries have started use the property. This situation will be changed by new technologies such as AI robots and deep learning. Automation and industrial robotic arms have been in the manufacturing industry for decades, but even the most automated automotive manufacturing industry is still a long way from the so-called light-out factory. For example, most of the car assembly is still done manually. This is also the most labor intensive work of the car factory. On average, two-thirds of the workers in the car factory are in the assembly line.
Today the automated production line is mostly designed for mass production. They can reduce costs effectively, but there is no change. As consumers prefer products with a shorter and shorter shelf life, the demand for customized products increases. Humans are often more able to respond to these new products than robots, as they don’t need to spend as much time to fill jobs or change production processes.
The biggest change that AI has brought to robotic arms is: in the past, robotic arms could only repeat tasks written by engineers. Although the accuracy and speed are high, they cannot cope with the environment or changes. But now because of AI, machines can learn many tasks on their own.
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Existing players in the industry often choose to focus on continuous innovation and improvement of existing products and services in order to serve existing customers. yes. At this time, some small companies with limited resources can seize the opportunity to focus on neglected markets and gain a foothold in these markets. AI robots will bring disruptive innovation to the manufacturing industry.
Disruptive innovation is divided into the following two types: low-tech business and new business innovation. What AI robots bring is disruptive innovation for new industries. New business innovation refers to innovation by new companies targeting new markets where existing companies have not yet operated.
With the automotive and electronics industries accounting for 60% of the robotic arms market, many companies are focusing on innovation to do what they do best and what customers want. possible to improve speed and accuracy. Productivity, food production, and product preparation processes have been neglected. Customers do not have high performance and high performance, but they are looking for robotic arms that are more flexible and able to learn different tasks with flexibility. Seeing this unmet demand, AI Robotics Company has started applying artificial intelligence to robots so that robots can be used in new industries such as product preparation, packaging , and products. Lower cameras used in machine learning models automate processes such as product preparation and loading that could only be done manually in the past. Robotic arms can be used in many areas, and across many industries.
The combination of AI and robotics brings many possibilities, but these changes will not come overnight. Even as robotic arm companies begin to invest in AI, they must also consider how to redesign their organization and development strategies to minimize the negative impact of change. and meet the needs of all management companies.
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On the other hand, creating a new business is not an easy matter. Startups also need to work closely with manufacturers to create better solutions for customer needs. The manufacturing process is more complex and more diverse than manufacturing. Although companies are beginning to understand AI and robotics technology, they don’t necessarily understand the manufacturing process. This also gives Taiwanese companies the best chance to grow and change.
Taiwan’s intellectual development in the manufacturing industry not only brings the advantages of understanding the application of information and knowledge of information, but also achieves the goal of transformation business through the use of new technologies such as AI robots.
If Taiwanese companies can take the lead in collaborating with these startups, they can not only improve productivity and efficiency through automation, but also can provide solutions to previously difficult processes. By moving away from the ideas of mass production and price competition, global startups can become a testing ground for a new generation of AI robots, and create unique solutions designed for electronics or semiconductor devices, thus increasing productivity.
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