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What are the predictive maintenance and preventive maintenance? Predictive and preventive maintenances often include condition monitoring hardware, industrial automation hardware, communication connections, storage and platforms, and data analysis.
"Efficiency" is the most important key in the pursuit of success in the manufacturing process and the entire industry.
In the field of manufacturing and supply chain, the technical assistance of Industry 4.0 and 5G and AI, combined with blockchain, can promote the new development of manufacturing and achieve more effective integration of hardware, software and services.
What is a predictive maintenance strategy? In short, it uses the algorithm to analyze and detect the mechanical state before the failure, and predict the time when the failure occurs. In addition to this, it is also possible to determine the type of proactive tasks that can prolong the service life of the machine.
Flexible production refers to relying on highly flexible manufacturing equipment mainly based on computer numerical control machine tools to realize multi-variety and small-batch production methods. Committed to the goal of zero switching costs, and reduce this waste as much as possible; then the capacity can be adjusted to make it consistent with the market demand capacity.
Today, the Internet of Things is still a hot topic in many industries. Emphasizing the benefits of adopting this technology, Fortune Business Insights estimates that by 2026, the global Internet of Things market will reach 1102.6 billion US dollars.
After "Cloud Computing", a new term "Fog Computing" has been added in recent years. It mainly comes from the phrase "fog is a cloud closer to the ground".
NC is the most important revolution since the first industrial revolution in the manufacturing industry. Since its successful development in 1950, NC technology has been undergoing important developments in hardware and software.
The US-China trade war has triggered a major reshuffle of the supply chain. The global manufacturing industry is facing unprecedented challenges. In the process of transforming smart manufacturing, the biggest problem is the integration of operating technology (OT) and information technology (IT). Only by working with the smart manufacturing ecosystem can we have a chance to survive in the changes and seize future business opportunities.
With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.
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New technologies bring forth the new. AI and the cloud are irreversible trends that are strengthening the competitiveness of enterprises. Enterprises should consider how to implement AI and the cloud in each application of the enterprises.
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?
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.
Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?
In recent years, Taiwan’s "mechanical transmission equipment industry", "pumps, compressors, stopcock and valve industry", "other general equipment and machinery", and other relevant industries have increased their production indexes, mainly because of the active demands for smart automation equipment which has driven the increase in overall output.
3D printing technology has been widely used in recent years, and it has also allowed the manufacturing industry to evolve into a "smart" manufacturing industry, which can achieve the large output value with the less manpower.
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