Both lean and agile manufacturing emphasizes leveraging market knowledge, integrating supply chains, and reducing product lead times.
The new generation of HMI will replace traditional buttons, indicators and selectors with updated technology and components, reduce the dependence on a large number of display panels and cables, and reduce operating costs through advanced HMI functions to enhance monitoring of equipment.
The Metaverse is bringing virtual gamers to a wireless sci-fi vision with an infinite number of virtual worlds. However, you will find some transformation and benefits in how manufacturers can be more productive in the digital and physical worlds.
Digital manufacturing is an execution system that connects all manufacturing processes and combines digital tools with manufacturing processes.
Smart manufacturing utilizes advanced manufacturing technology and provides solutions through AI, the Internet of Things, big data, cloud, edge computing, and other technologies to substitute the production process with an intelligent manufacturing model and customize products according to customer needs.
From cars to computers, coffee machines to children’s toys, almost everything we use on an everyday basis is produced by manufacturers. So manufacturing is often described as a key building block of society. Manufacturing has evolved over the centuries, from human-centered methods to machine-reliant assembly lines to the highly automated factories we’re beginning to see more of today. As industry continues to evolve, numerous trends are combining to transform manufacturing. These quickly developing new trends have emerged so fast that they have been referred to as “Industry 4.0.”
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 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.
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.
Digital transformation is the process of applying digital technology to recreate the way work is done to create and provide new value.
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.
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?
With the soaring volume of e-commerce transactions, the demand for logistics is also rising. In the process of industry transformation and upgrading, smart technology has become one of the keys to industry development.
Through national key projects, the Taiwanese government announced that it plans to invest more than one trillion yuan in transportation technology to stimulate the development of convenient transportation and boost the Taiwan economy.
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.
The machinery industry is the development focus of all countries and indirectly becomes a symbol of national competitiveness. The world's major industrial countries with high international competitiveness, such as Germany, Japan, and the United States, have the foundation of precision machinery manufacturing technology and the development of intelligent machinery. The energy of the device. Therefore, it can support the development of its domestic automobile, aerospace, transportation, information, optoelectronics, communications, defense weapons, and energy industries.