Mr. Vo Hong Ky, the Country Manager for Digital Industry Software and Mr. Doan Duc Thao, Partner Business Manager from Siemens Vietnam visited their cooperation partner LILAMA 2 International Technology College (LILAMA 2) on February 2, 2024. Siemens, LILAMA 2 and GIZ jointly implement the development partnership “Vocational Training for Smart Manufacturing in Machine Tools”. During the visit, Mr. Vo Hong Ky commended LILAMA 2’s innovative training approaches and praised the successful implementation of Digital Technology Education Centre (D-TEC), which Siemens Vietnam and GIZ have supported to establish since 2019.
Mr. Ky reaffirmed Siemens’ committment to continue their cooperation with LILAMA 2 as certified SIEMENS partner training institute for Vietnam. They will further support advancement LILAMA 2’s portfolios in further training for the industry with advanced cutting-edge technologies such as Artificial Intelligence, Cloud Computing, 3D Printing, Additive Manufacturing, and Manufacturing Execution Systems in various fields of mechanical and electronic engineering, including automation and mechatronics.
Mr. Nguyen Khanh Cuong, the rector of LILAMA 2, expressed gratitude for Siemens Vietnam’s continued support and collaboration. He highlighted the significant benefits brought by their cooperation with GIZ in establishing the Digital Technology Education Centre to LILAMA 2’s students, teachers and company technicians. He further emphasised the important role LILAMA 2 plays as leading centre of excellence for smart manufacturing and dissemination of knowledge and skills to other TVET institutes, industries and the entire TVET system in Vietnam.
The SIEMENS delegates were accompanied by Ms. Dam Thi Hong Lan, Director of Vietbay Technology Company, the Solution and Academic Partner of Siemens Vietnam Digital Industry Software. All partners committed to further cooperation in TVET and will evaluate the potential upscaling of the current development partnership with additional private enterprises focusing on energy efficiency in intelligent precision manufacturing technologies.
