Training background

In view of the proposal of the concept of industry 4.0, the Chinese government also vigorously promotes the Internet + manufacturing mode, the digital transformation of traditional factories and the establishment of intelligent factories. It is expected that with the help of the Internet and the Internet, it can realize the collection and processing of information data in the whole production and manufacturing process, help managers to realize remote supervision, operation and management of workshop production conditions, optimize operation levels, and achieve the fastest response to customer needs, Achieve the goal of optimizing resource allocation.

Training object

Chairman / President / general manager of the enterprise, department managers and supervisors at all levels, and people interested in industry 4.0.

Training income

1. Enterprise's understanding of smart factory

2. Strategic planning for enterprises to build practical and feasible intelligent factories

3. Understand the planning and construction strategy of smart factor

4. A set of effective methods and tools for the construction and implementation of intelligent factories

Training outline

1. Master the basic logic, framework and core technology system of intelligent manufacturing;

2. Familiar with the strategies and development trends of Intelligent Manufacturing in various countries;

3. Master the relationship between industrial big data and other modules of intelligent manufacturing;

4. Master the methods and Strategies of governance and management of industrial big data;

5. Familiar with industrial Internet and smart factory system;

6. Familiar with the technical system of industrial big data and the logic of various data platforms;

7. Familiar with the core direction and logic of digital transformation of manufacturing enterprises;

8. Master the methods of innovation and transformation in the business field based on big data;

9. Deeply understand and master the innovation scenarios of industrial big data in intelligent manufacturing related fields.

  NOA|挪亚2022年课程计划.pdf