03 Application practice of industrial robots based on intelligent manufacturing

3.1 Planning principles for intelligent application of enterprise devices

DNC115 The fundamental purpose of enterprise development is to make profits, and intelligent manufacturing is the way for enterprises to achieve profits in the new era of development. The basic situation and development goals of each enterprise are different, so the practice of intelligent manufacturing in each enterprise is not the same, and each enterprise needs to build its own intelligent manufacturing system according to its own development model. However, under the premise of consistent corporate profit goals, the fundamental requirements of intelligent manufacturing development of all enterprises are consistent, that is, reducing production costs, improving production efficiency and reshaping management methods are the core values of intelligent manufacturing development.

1) Reduce production costs. Through the introduction of automation, digitalization and intelligent technology and equipment, human costs can be reduced, resource waste reduced, and resource utilization efficiency improved. It can also further reduce overall production costs by monitoring and DNC115 optimizing the production process in real time, reducing energy consumption and raw material waste.

2) Improve production efficiency. Through advanced technologies and equipment, such as the Internet of Things, artificial intelligence, 5G, cloud and big data analytics, real-time monitoring and fast response of the production process can be achieved, which helps to reduce errors and downtime in production, improve equipment utilization, and thereby increase production efficiency. Through real-time data analysis, production planning and scheduling can also be more precise, ensuring that production can respond to order demand in a timely manner and improve delivery speed.

3) Reinvent management. Intelligent manufacturing is not only the application of technology, but also needs the corresponding management system to support. Traditional management methods may not be able to give full play to the advantages of intelligent manufacturing, so it is necessary to rethink and adjust the management model. Intelligent manufacturing can promote enterprises to achieve digital management, and improve the scientific and flexible management through data-driven decision-making.

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3.2 Industrial robot intelligent practice background

With the rapid development of the automobile industry, especially the new energy vehicles began to land in Thailand, an axle processing enterprise located in the East coast Economic Industrial zone of Rayong Province, Thailand, has gradually obtained more and more orders, but these orders come from different automobile enterprises, and the product specifications, quantity and delivery cycle of the orders are not the same. Therefore, the new production demand requires the enterprise to change the traditional human-led production mode in the past to meet the needs of growing orders and production tasks. Based on this, the company plans to pilot the addition of an industrial robot and management system to solve major bottlenecks.

1) Establish a management system to change the traditional “slip of paper” DNC115 mode of information transmission. In the traditional production mode of the enterprise, all data transmission and feedback are completed by manually filling in production task lists, recording production data and other paper forms, which is low efficiency and prone to errors, and cannot meet the requirements of current production tasks.

2) Add a set of industrial robot system to realize automatic feeding of parts in disordered state. The raw materials of the spare parts of the enterprise are stacked in a disorderly basket, and there are a wide variety of models. Under the traditional production mode, the workers confirm the product model through the table in the DNC115 basket, and manually handle the parts to achieve loading, which is labor-intensive and prone to errors, especially in the production task of large output, which often requires 24 hours of continuous operation, which seriously restricts the production efficiency of the entire production line.

3) The production workshop of the enterprise is old, the supporting hardware facilities are relatively old, and the production staff is insufficient in ability and quality. Therefore, the construction investment of supporting infrastructure and the construction investment of maintenance talent team also need to be fully considered in the entire planning scheme.