The "Intelligent Manufacturing Top Planning and Construction" Training Class was Successfully Held

On May 24th, 2018, the training course “Top Planning and Construction of Intelligent Manufacturing” hosted by e-works Digital Enterprise Network was successfully held at Ningbo Haiju Lijing Hotel. It was an enterprise CIO from the field of manufacturing intelligent manufacturing and informatization. More than 60 students including project managers and technical engineers attended the training.

"Intelligent Manufacturing Top Planning and Construction" Training Site

The one-day training was under the theme of “Intelligent Manufacturing Top Planning and Construction”, presented by Du Fu, Deputy General Manager of e-works and General Manager of Consulting Division, focusing on smart factory construction path and existing problems, smart factory architecture and promotion construction, Intelligent factory planning and construction strategy. Combining e-works consulting department with Kangni Mechatronics, Sany Heavy Industry, Changan Automobile, and Wanxiang Qianchao. The construction and implementation were explained in detail.

Deputy General Manager of e-works, Du Fu, General Manager of Consulting Division

Du Fu believes that the construction of smart factories is gradually progressing in a digital-connected-intelligent way. In the implementation process, the company's smart factory construction can be planned in four steps: First step, objective design and status assessment; second step , Business model design and first-stage process design; Third step, sub-item design and integration framework design; Fourth step, implementation plan and investment budget. Du Fu emphasized that the core of smart manufacturing top-level design is the design of future business models. The development of smart manufacturing brings innovations that are truly customer-centric business models, innovations in collaborative models that integrate supply chains, transparency, leanness, innovations in flexible manufacturing models, and decision models based on data-driven decisions. Innovation is the key to a company's digital transformation.

The atmosphere of the on-site training of the training was very warm. During the breaks between classes, many students discussed with Du Fu’s teacher about the problems recorded during the class. The students stated that through this training, not only planning and construction of the smart factory A clearer understanding has also led to more in-depth reflection on the direction of the company's future development in the smart factory. It has a very positive significance.

Student photo

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