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Vertical injection molding machines, owing to their unique structural design and operational advantages, are widely used in electronics, medical devices, automotive components, and high-precision plastic part manufacturing. They are especially indispensable for insert molding and in-mold decoration (IMD) processes. As global manufacturing advances toward smarter, higher-efficiency operations, the vertical injection molding machine market is showing several clear trends.

Modern smart factories often face challenges with scattered data and information silos. Although sensors, SCADA, MES, and other systems continuously generate vast amounts of data, the lack of integration makes it difficult to quickly identify the root causes of anomalies. Large language models (LLMs) are emerging as a key solution by enabling cross-system data retrieval and analysis through natural language queries. Acting as “semantic coordinators” within multi-agent manufacturing systems, LLMs can dynamically adjust production schedules and resource allocation in real time. The article references examples from Microsoft Azure AI, AWS, Schaeffler, and Siemens to demonstrate how LLMs help reduce downtime, increase transparency, and improve decision-making efficiency. Finally, it highlights that as LLMs integrate with automation and visualization technologies, manufacturing will enter the “semantic era,” where operators can access production line insights conversationally and instantly, driving smart manufacturing toward greater flexibility and intelligence.

In the current wave of global manufacturing transformation, digitalization and connectivity have become the core drivers propelling the machine tool industry toward smart factories. This goes beyond merely connecting traditional equipment to networks; it involves leveraging data collection, analysis, and application to achieve comprehensive optimization of production processes, enhanced efficiency, and flexible manufacturing. From single-machine intelligence to production line collaboration, digitalized and connected technologies are rapidly transforming the design, manufacturing, operation, and maintenance of machine tools.

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.

With the application of rubber and plastic more and more widely, rubber and plastic machinery is becoming more and more intelligent.

The building materials construction industry is an important part of economic development, ranging from the construction of national public works to the home life of the general public, all of which are related to the building materials construction industry.

Germany is the second-largest producer of machine tools in the world, after China. Advanced German machine tool technology has led the development of the machine tool market.

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.

4.0 Automation technologies, through the IIoT (Industrial Internet of Things) connect, control and monitor networks of manufacturing and processing machines, devices, robots and cloud information in real time via Cloud Monitoring. This allows them to learn, operate and function automatically, minimizing human intervention and optimizing production.

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.

The goal of Making Indonesia 4.0 is to achieve Indonesia’s entry into the top ten economies in the world by 2030. The roadmap of Indonesia’s Industry 4.0 is the key to enhancing the overall competitiveness of Indonesia’s industry in the future digital era, guiding the implementation of Indonesia’s national strategy, and where the interests are at stake. Cooperation and coordinated implementation between various industries aim to promote inclusive national growth and sustainable community welfare.

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.

South Korea is the world's sixth-largest machine tool producer and the world's fifth-largest machine tool consumer, with an average consumption of approximately US$4.33 billion. Among them, nearly 70% of the consumer market's demand is for products provided by local machine tool factories, and only close to 30% of the products must be imported from abroad.

After more than ten years, South Korea has continuously promoted machines to target South Korea smart cities. It has achieved remarkable results in the field of industrial robots and has gradually moved towards commercialization in the field of service robots. Industrial intelligence that enhances industrial competitiveness extends to the realization of the vision of coexisting humans and robots to intelligent life.

Italy has a solid industrial foundation and is the second-largest producer of machine tools market in Europe.

An issue closely related to the smart factory debate concerns the position occupied by industrial production in overall social relationships; in other words, the relationship between factory and society, within which there is a new reflection on the relationship between factories and urban spaces, cities.

The effects of Industry 4.0 in many industries have already been seen, with improvements to existing value propositions emerging, or entirely new ones being developed. In aviation, digital technology has already fundamentally changed the airline industry landscape.

Industry 4.0 has brought about changes in production logic. Through cloud technology and the use of big data, it is possible to monitor the entire production process, automatically detect problems and eliminate obstacles, and at the same time be able to accurately produce and schedule resources, reduce costs and waste of resources, and achieve the most efficient Production. In the future, the new trend of Industry 4.0 will tend to analyze huge amounts of data and manufacture customized products close to the client.

Why has the software industry or the hardware industry been talking about digital transformation in recent years? What is the necessity and challenges of Taiwan's manufacturing industry for digital transformation?

In recent years, with the development of Industry 4.0, factory automation has become a future trend.