On December 1st, 2022, Yangzhou Lande Management Consulting Co., Ltd. led a group of 26 trainees from the seminar of “Intelligent and Digital Transformation and Practical Action” to visit and study in ASIMCO Camshaft (Yizheng) Co., Ltd., accompanied by general manager Chen Aiguo and relevant leaders.
        Mr. Chen explained our company's current intelligent manufacturing, digital transformation promotion strategy and the development plan for the next five years, and showed the company's work and achievements in automation, digitalization and intelligence in recent years. Combined with the previous experience of overseas customers, Mr. Chen believes that there was still a big gap between our company and mature intelligent manufacturing factories abroad, and in the future, we would follow the international trend, carry out MES Phase III projects and gradually enhance the company’s comprehensive competitiveness.
During the on-site questioning session, the trainees wanted to know about the excellent management mode of ASIMCO Camshaft in terms of quality control. With real data, Mr. Chen shared with the trainees some actual cases of quality failure affecting the development of the enterprises, and emphasized that “quality is the bottom line of enterprises’ survival”. All along, we persist on manufacturing each camshaft with high standards and strict requirements, and have won the recognition and satisfaction of customers with high quality. 
        After that, Mr. Chen led the trainees to the site and visited the manufacturing workshop, such as automatic arm processing, real-time monitoring data of manufacturing, Andon repair system, zero defect management system (ZDM), product life cycle management system (PLM), etc. The trainees praised the application of advanced technologies and systems in digitalization, intelligence and automation of ASIMCO Camshaft. 
        They said that this visit is worthwhile and let them change from “expert's perspective” of their respective companies to “trainee's perspective”, improve their understanding and cognition of new technologies, new scenarios and new models, have a deeper and more comprehensive understanding of intelligent manufacturing and digital-driven lean quality management, and find a correct way for the transformation and upgrading of enterprise intelligent manufacturing.