8BVP0880HW00.004-1 Robot industry chain and industrial cluster development

8BVP0880HW00.004-1 According to the report, Actions Technology, with its rich experience in the construction of intelligent production lines, has developed the ability to provide customers with intelligent transformation services, which can effectively help customers reduce costs and improve efficiency, including human resources optimization, production and management standardization, production quality and efficiency improvement and reduce operating costs.

At present, digital transformation has become a “compulsory course” for the high-quality development of small and medium-sized enterprises in China. The “intelligent production line” mentioned in the “report”, that is, the Tongling production base that will officially start construction in 2023, not only meets the production and manufacturing needs of the full series of AMR robots developed by Torch Technology, but also drives the development of related enterprises that master the key parts and production processes of robots and forms industrial clusters. It has laid a solid foundation for Torch Technology to grow into a “chain master enterprise”. After the completion of the project, Action Star Technology will have 50,000 intelligent robot production bases.

As the world’s leading AMR autonomous mobile robot enterprise, Action Technology has8BVP0880HW00.004-1 always been committed to providing users around the world with digital and automation products and services, and empowering the robot industry chain and industrial cluster development with innovative technology. Robots as a connection point between the digital economy and the real economy, Torch Technology will explore AMR based flexible production solutions on the practical experience of the “intelligent manufacturing center”, and provide robot-based digital and intelligent services for manufacturing enterprises.

The following is the relevant text of the report:

Torch Technology: AMR robots and PMC systems lead the innovation of production automation

Torch Technology, founded in 2018, is an innovative technology enterprise focusing on AMR (autonomous mobile Robot) hardware and software and supporting cloud services. Its RaaS model (Robot as a service) greatly reduces the threshold for enterprises to introduce AMR through monthly/quarterly/annual payment. Torch Technology is committed to meeting the digital intelligent transformation needs of many scenarios such as smart logistics, intelligent manufacturing, commercial cleaning, hotel and catering, and helping different industries release their productivity potential.

Digital background

In the traditional smart factory, enterprises often face multiple challenges. High construction and operating costs are the primary pain points, due to the purchase and maintenance of hardware equipment, software customization and upgrades require a large amount of capital investment. At the same time, high labor costs also increase the bu8BVP0880HW00.004-1 rden of enterprises, especially in the process of material flow and loading and unloading, which are still inseparable from manual operation, resulting in the inefficient use of human resources, and long-term repetitive work is easy to cause fatigue of employees, thus affecting production efficiency and product quality. In addition, the non-standardization of production and management is also an important problem, the human factor makes the production process difficult to achieve complete standardization, increasing the difficulty of management and the instability of production quality. Finally, quality control is difficult, and the quality control of traditional production mode mainly relies on manual sampling, which is inefficient and easy to miss and misdetect, which makes it difficult to ensure product quality continuously. Therefore, when Torch Technology builds a smart manufacturing plant internally, it plans to improve the traditional smart factory solution and use a new model to solve these pain points that affect production efficiency, increase operating costs and quality control difficulties.

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