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Through the assistance and support of the service industry, we can add value to the manufacturing industry, enhance the international competitiveness of the manufacturing industry, and create greater comparative advantages and profit space.
The low-code development environment allows users with less technical knowledge to build entire business applications on their own without the assistance of IT staff.
The outbreak of the pandemic has caused the shutdown of supply-side factories around the world and the interruption of supply chains. The demand on the market side has also decreased, and the production of major global machinery products has been affected.
Wisdom Manufacturing (WM) is the use of advanced manufacturing technology and new-generation information technologies such as the Internet of Things, big data, cloud computing, artificial intelligence (AI), etc., to highly customize every link of the production process and use advanced manufacturing models to adapt to rapidly changing external market demands.
In 2020, the global machine tool market was worth 111.36 billion U.S. dollars. Affected by the COVID-19 epidemic and the Sino-US trade war, China’s import and export value of machine tools declined by 17.7% and 11.5% respectively in 2020 compared to 2019. However, it is still the world’s largest machine tool market, accounting for approximately 35% of the world’s total.
The manufacturing industry has faced multiple operational obstacles caused by the pandemic. How can companies use digital technology to strengthen the industrial ecological chain and their own health in an all-around way?
Industrial Internet of Things (Indusrial IoT, or IIoT) is the expansion and use of the Internet of Things (IoT) in industrial applications. Industrial IoT focuses on machine-to-machine (M2M) communication, big data, and machine learning (ML) to make industrial operations more efficient and reliable. IIoT covers the entire industrial application, including robotics, medical equipment, and software-defined production processes.
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.
Since Germany called out "Industry 4.0", the related issues have quickly fermented around the world. U.S. government immediately put forward the "Advanced Manufacturing Partnership Program (AMP)" focusing on emerging technologies that can be quickly commercialized. Government R&D facilities are shared to promote industry one-stop collaborative R&D capabilities, reducing the risks of commercialization.
With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. However, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.
The global industrial valve market will reach 85.6 billion U.S. dollars in 2022. From the perspective of product technology leadership, European countries, especially Germany, and the United States, are the main leaders, followed by Taiwan, Japan, South Korea, China and India.
In terms of 2019 data, India is the world's 10th largest machine tool producer and the world's 8th largest machine tool consumer. The Indian government has set a target for India’s manufacturing output value to account for 25% of GDP by 2025. Together with the prime minister’s active promotion of "Made in India", it will bring a huge boost to the demand for machine tools in India. The Indian machine tool market still has considerable development potential, and the Indian manufacturing market is rising rapidly.
South Korea is a country lacking natural resources. Its economic development is export-oriented, and its industrial structure is dominated by heavy chemical industries. The five major industries, including automobiles, shipbuilding, semiconductors, steel, and smartphones, earn a lot of foreign exchange for the country's economic growth.
The United Nations Industrial Development Agency (UNIDO) announced the July 2020 World Manufacturing Competitiveness Index (CIP) which is based on 2018 indicators. South Korea ranks third after Germany and China among 152 countries in the world. CIP is a composite index of 8 items including per capita manufacturing, value-added, and manufacturing export value. It reflects the overall competitiveness of the manufacturing industry in each country. UNIDO publishes the CIP every other year.
There are many reasons for manufacturers to move their offshore or near-shore production bases to Mexico. The advantage of cheap labor is one of the most prominent.
The manufacturing industry occupies an important position in the British economy. Although the UK has declined in industrial scale, it still has some of the world’s top companies in steel, pharmaceuticals, biological breeding, aerospace, machinery, microelectronics, military, and environmental sciences, etc. All aspects are among the best in the world.
With the constant development of modern technology, the power output of equipment, such as internal combustion engines and motors is getting stronger and stronger. To attain the full efficiency of these power sources, reducers are incorporated.
It is predicted that in 2021, the four major industries of Taiwan's metal electrical and mechanical industries, information electronics, chemical industry, and people's livelihood industry will all grow positively.
Many generation industrialists gradually move towards brand thinking, and then begin to build the ability to use data analysis techniques to capture business opportunities.
As industry 4.0 technology continues to advance, existing data can be harnessed to develop machine-learning solutions that deliver real value, optimize decision making, increase flexibility, and attract top talent.
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